Top Read Articles
Published in last 1 year |  In last 2 years |  In last 3 years |  All
Please wait a minute...
For Selected: Toggle Thumbnails
Modeling for UAV resource scheduling under mission synchronization
Jia Zeng, Xiaoke Yang, Lingyu Yang, and Gongzhang Shen
Journal of Systems Engineering and Electronics    2010, 21 (5): 821-826.   DOI: 10.3969/j.issn.1004-4132.2010.05.016
Abstract999)      PDF(pc) (451KB)(704)       Save

Unmanned aerial vehicle (UAV) resource scheduling means to allocate and aggregate the available UAV resources depending on the mission requirements and the battlefield situation assessment. In previous studies, the models cannot reflect the mission synchronization; the targets are treated respectively, which results in the large scale of the problem and high computational complexity. To overcome these disadvantages, a model for UAV resource scheduling under mission synchronization is proposed, which is based on single-objective non-linear integer programming. And several cooperative teams are aggregated for the target clusters from the available resources. The evaluation indices of weapon allocation are referenced in establishing the objective function and the constraints for the issue. The scales of the target clusters are considered as the constraints for the scales of the cooperative teams to make them match in scale. The functions of the intersection between the “mission time-window” and the UAV “arrival time-window” are introduced into the objective function and the constraints in order to describe the mission synchronization effectively. The results demonstrate that the proposed expanded model can meet the requirement of mission synchronization, guide the aggregation of cooperative teams for the target clusters and control the scale of the problem effectively.  

Related Articles | Metrics
Backstepping-based active fault-tolerant control for a class of uncertain SISO nonlinear systems?
Meng Lingya & Jiang Bin
Journal of Systems Engineering and Electronics    2009, 20 (6): 1263-1270.  
Abstract998)      PDF(pc) (192KB)(373)       Save

Active fault-tolerant control is investigated for a class of uncertain SISO nonlinear flight control systems based on the adaptive observer, feedback linearization and backstepping theory. Firstly an adaptive observer is constructed to estimate the fault in the faulty system. A new fault updating law is presented to simplify the assumption conditions of the adaptive observer. The asymptotical stability of the observer and the uniform ultimate boundedness of the fault estimation error are guaranteed by Lyapunov theorem. Then a backstepping-based active fault-tolerant controller is designed for the faulty system. The asymptotical stability of the closed-loop system and uniform ultimate boundedness of the tracking error are proved based on Lyapunov theorem. The effectiveness of the proposed scheme is demonstrated through the numerical simulation of a flight control system.

Related Articles | Metrics
Circular SAR processing using an improved omega-k type algorithm
Leilei Kou, Xiaoqing Wang, Jinsong Chong, Maosheng Xiang, and Minhui Zhu
Journal of Systems Engineering and Electronics    2010, 21 (4): 572-579.   DOI: 10.3969/j.issn.1004-4132.2010.04.008
Abstract996)      PDF(pc) (1272KB)(2131)       Save
An improved circular synthetic aperture radar (CSAR) imaging algorithm of omega-k (ω-k) type mainly for reconstructing an image on a cylindrical surface is proposed. In the typical CSAR ω-k algorithm, the rage trajectory is approximated by Taylor series expansion to the quadratic terms, which limits the valid synthetic aperture length and the angular reconstruction range severely. Based on the model of the CSAR echo signal, the proposed algorithm directly transforms the signal to the two-dimensional (2D) wavenumber domain, not using approximation processing to the range trajectory. Based on form of the signal spectrum in the wavenumber domain, the formula for the wavenumber domain interpolation of the ω-k algorithm is deduced, and the wavenumber spectrum of the reference point used for bulk compression is obtained from numerical method. The improved CSAR ω-k imaging algorithm increases the valid synthetic aperture length and the angular area greatly and hence improves the angular resolution of the cylindrical imaging. Additionally, the proposed algorithm can be repeated on different cylindrical surfaces to achieve three dimensional (3D) image reconstruction. The 3D spatial resolution of the CSAR system is discussed, and the simulation results validate the correctness of the analysis and the feasibility of the algorithm.

Related Articles | Metrics
Degradation algorithm of compressive sensing
Chunhui Zhao and Wei Liu
Journal of Systems Engineering and Electronics    2011, 22 (5): 832-839.   DOI: 10.3969/j.issn.1004-4132.2011.05.016
Abstract994)      PDF(pc) (2463KB)(931)       Save
The compressive sensing (CS) theory allows people to obtain signal in the frequency much lower than the requested one of sampling theorem. Because the theory is based on the assumption of that the location of sparse values is unknown, it has many constraints in practical applications. In fact, in many cases such as image processing, the location of sparse values is knowable, and CS can degrade to a linear process. In order to take full advantage of the visual information of images, this paper proposes the concept of dimensionality reduction transform matrix and then selects sparse values by constructing an accuracy control matrix, so on this basis, a degradation algorithm is designed that the signal can be obtained by the measurements as many as sparse values and reconstructed through a linear process. In comparison with similar methods, the degradation algorithm is effective in reducing the number of sensors and improving operational efficiency. The algorithm is also used to achieve the CS process with the same amount of data as joint photographic exports group (JPEG) compression and acquires the same display effect.
Related Articles | Metrics
Seeker optimization algorithm:a novel stochastic search algorithm for global numerical optimization
Chaohua Dai1,Weirong Chen1,Yonghua Song2,and Yunfang Zhu3
Journal of Systems Engineering and Electronics    2010, 21 (2): 300-311.   DOI: 10.3969/j.issn.1004-4132.2010.02.021
Abstract994)      PDF(pc) (891KB)(815)       Save

A novel heuristic search algorithm called seeker op-
timization algorithm(SOA)is proposed for the real-parameter
optimization.The proposed SOA is based on simulating the act of
human searching.In the SOA,search direction is based on empir-
ical gradients by evaluating the response to the position changes,
while step length is based on uncertainty reasoning by using a
simple fuzzy rule.The effectiveness of the SOA is evaluated by
using a challenging set of typically complex functions in compari-
son to differential evolution(DE)and three modified particle swarm
optimization(PSO)algorithms.The simulation results show that
the performance of the SOA is superior or comparable to that of
the other algorithms.

Related Articles | Metrics
Improved genetic algorithm for nonlinear programming problems
Kezong Tang, Jingyu Yang, Haiyan Chen, and Shang Gao
Journal of Systems Engineering and Electronics    2011, 22 (3): 540-546.   DOI: 10.3969/j.issn.1004-4132.2011.03.026
Abstract990)      PDF(pc) (491KB)(811)       Save

An improved genetic algorithm (IGA) based on a novel selection strategy to handle nonlinear programming problems is proposed. Each individual in selection process is represented as a three-dimensional feature vector which is composed of objective function value, the degree of constraints violations and the number of constraints violations. It is easy to distinguish excellent individuals from general individuals by using an individuals' feature vector. Additionally, a local search (LS) process is incorporated into selection operation so as to find feasible solutions located in the neighboring areas of some infeasible solutions. The combination of IGA and LS should offer the advantage of both the quality of solutions and diversity of solutions. Experimental results over a set of benchmark problems demonstrate that IGA has better performance than other algorithms.

Related Articles | Metrics
Research on infrared dim and small target detection algorithm based on low-rank tensor recovery
Chuntong LIU, Hao WANG
Journal of Systems Engineering and Electronics    2023, 34 (4): 861-872.   DOI: 10.23919/JSEE.2023.000004
Abstract99)   HTML4)    PDF(pc) (3845KB)(53)       Save

In order to rapidly and accurately detect infrared small and dim targets in the infrared image of complex scene collected by virtual prototyping of space-based downward-looking multiband detection, an improved detection algorithm of infrared small and dim target is proposed in this paper. Firstly, the original infrared images are changed into a new infrared patch tensor mode through data reconstruction. Then, the infrared small and dim target detection problems are converted to low-rank tensor recovery problems based on tensor nuclear norm in accordance with patch tensor characteristics, and inverse variance weighted entropy is defined for self-adaptive adjustment of sparseness. Finally, the low-rank tensor recovery problem with noise is solved by alternating the direction method to obtain the sparse target image, and the final small target is worked out by a simple partitioning algorithm. The test results in various space-based downward-looking complex scenes show that such method can restrain complex background well by virtue of rapid arithmetic speed with high detection probability and low false alarm rate. It is a kind of infrared small and dim target detection method with good performance.

Table and Figures | Reference | Related Articles | Metrics
Supply chain coordination mechanisms under flexible contracts
Jianhu Cai*, Liping Wang, and Gengui Zhou
Journal of Systems Engineering and Electronics    2010, 21 (3): 440-448.   DOI: 10.3969/j.issn.1004-4132.2010.03.014
Abstract989)      PDF(pc) (577KB)(563)       Save

In supply chain management, an important research direction is to coordinate the supply chain through introducing flexible contracts. A supply chain contract is flexible if it can satisfy two conditions at the same time: the supply chain is coordinated, and the total profit of the supply chain can be arbitrarily divided between the supply chain members. This paper puts out two contracts, a flexible return contract and a flexible wholesale price discount contract. In contrast to many of literature, the supply chain contracts with an endogenous wholesale price is specifically considered, and a detailed sensitivity analysis of the contract parameters is given. The paper also discusses the application of the contract in vendor-managed inventory (VMI) mode. The results show that the supply chain’s performance is improved after introducing above contracts. All the findings are illustrated by numerical examples.

Related Articles | Metrics
Fault detection of switched linear systems with its application to turntable systems
Guanghui Sun, Mao Wang, Xiuming Yao, and Ligang Wu
Journal of Systems Engineering and Electronics    2011, 22 (1): 120-126.   DOI: 10.3969/j.issn.1004-4132.2011.01.015
Abstract988)      PDF(pc) (760KB)(899)       Save

This paper is concerned with the H∞ fault detection for continuous-time linear switched systems with its application to turntable systems. The solvability condition for a desired filter is established based on the proposed sufficient condition. Based on the double channel scheme of the turntable control system, the turntable system can be modeled as a switched system. Finally, by taking the turntable system as a numerical example, the effectiveness of the proposed theory is well validated.

Related Articles | Metrics
Coverage of communication-based sensor nodes deployed location and energy efficient clustering algorithm in WSN
Xiang Gao, Yintang Yang, and Duan Zhou
Journal of Systems Engineering and Electronics    2010, 21 (4): 698-704.   DOI: 10.3969/j.issn.1004-4132.2010.04.025
Abstract986)      PDF(pc) (998KB)(543)       Save
An effective algorithm based on signal coverage of effective communication and local energy-consumption saving strategy is proposed for the application in wireless sensor networks. This algorithm consists of two sub algorithms. One is the multi-hop partition subspaces clustering algorithm for ensuring local energybalanced consumption ascribed to the deployment from another algorithm of distributed locating deployment based on efficient communication coverage probability (DLD-ECCP). DLD-ECCP makes use of the characteristics of Markov chain and probabilistic optimization to obtain the optimum topology and number of sensor nodes. Through simulation, the relative data demonstrate the advantages of the proposed approaches on saving hardware resources and energy consumption of networks.

Related Articles | Metrics
Image retrieval based on color features integrated with anisotropic directionality
Jing Bai, Xiaohua Wang, and Licheng Jiao
Journal of Systems Engineering and Electronics    2010, 21 (1): 127-133.   DOI: 10.3969/j.issn.1004-4132.2010.01.020
Abstract983)      PDF(pc) (1028KB)(504)       Save

A novel image retrieval approach based on color features and anisotropic directional information is proposed for content based image retrieval systems (CBIR). The color feature is described by the color histogram (CH), which is translation and rotation invariant. However, the CH does not contain spatial information which is very important for the image retrieval. To overcome this shortcoming, the subband energy of the lifting directionlet transform (L-DT) is proposed to describe the directional information, in which L-DT is characterized by multi-direction and anisotropic basis functions compared with the wavelet transform. A global similarity measure is designed to implement the fusion of both color feature and anisotropic directionality for the retrieval process. The retrieval experiments using a set of COREL images demonstrate that the higher query precision and better visual effect can be achieved.

Related Articles | Metrics
A tunable adaptive detector for distributed targets when signal mismatch occurs
Yufeng CUI, Yongliang WANG, Weijian LIU, Qinglei DU, Xichuan ZHANG, Xuhui LI
Journal of Systems Engineering and Electronics    2023, 34 (4): 873-878.   DOI: 10.23919/JSEE.2023.000029
Abstract98)   HTML5)    PDF(pc) (6473KB)(28)       Save

Aiming at the problem of detecting a distributed target when signal mismatch occurs, this paper proposes a tunable detector parameterized by an adjustable parameter. By adjusting the parameter, the tunable detector can achieve robust or selective detection of mismatched signals. Moreover, the proposed tunable detector, with a proper tunable parameter, can provide higher detection probability compared with existing detectors in the case of no signal mismatch. In addition, the proposed tunable detector possesses the constant false alarm rate property with the unknown noise covariance matrix.

Table and Figures | Reference | Related Articles | Metrics
Efficient unequal error protection for online fountain codes
Pengcheng SHI, Zhenyong WANG, Dezhi LI, Haibo LYU
Journal of Systems Engineering and Electronics    2024, 35 (2): 286-293.   DOI: 10.23919/JSEE.2022.000156
Abstract98)   HTML12)    PDF(pc) (4729KB)(59)       Save

In this paper, an efficient unequal error protection (UEP) scheme for online fountain codes is proposed. In the build-up phase, the traversing-selection strategy is proposed to select the most important symbols (MIS). Then, in the completion phase, the weighted-selection strategy is applied to provide low overhead. The performance of the proposed scheme is analyzed and compared with the existing UEP online fountain scheme. Simulation results show that in terms of MIS and the least important symbols (LIS), when the bit error ratio is $ {10^{ - 4}} $, the proposed scheme can achieve $ 85{\text{% }} $ and $ 31.58{\text{% }} $ overhead reduction, respectively.

Table and Figures | Reference | Related Articles | Metrics
PHUI-GA: GPU-based efficiency evolutionary algorithm for mining high utility itemsets
Haipeng JIANG, Guoqing WU, Mengdan SUN, Feng LI, Yunfei SUN, Wei FANG
Journal of Systems Engineering and Electronics    2024, 35 (4): 965-975.   DOI: 10.23919/JSEE.2024.000020
Abstract98)   HTML0)    PDF(pc) (8678KB)(16)       Save

Evolutionary algorithms (EAs) have been used in high utility itemset mining (HUIM) to address the problem of discovering high utility itemsets (HUIs) in the exponential search space. EAs have good running and mining performance, but they still require huge computational resource and may miss many HUIs. Due to the good combination of EA and graphics processing unit (GPU), we propose a parallel genetic algorithm (GA) based on the platform of GPU for mining HUIM (PHUI-GA). The evolution steps with improvements are performed in central processing unit (CPU) and the CPU intensive steps are sent to GPU to evaluate with multi-threaded processors. Experiments show that the mining performance of PHUI-GA outperforms the existing EAs. When mining 90% HUIs, the PHUI-GA is up to 188 times better than the existing EAs and up to 36 times better than the CPU parallel approach.

Table and Figures | Reference | Related Articles | Metrics
Consensus model of social network group decision-making based on trust relationship among experts and expert reliability
Ya WANG, Mei CAI, Xinglian JIAN
Journal of Systems Engineering and Electronics    2023, 34 (6): 1576-1588.   DOI: 10.23919/JSEE.2023.000021
Abstract98)   HTML0)    PDF(pc) (3951KB)(30)       Save

Due to people’s increasing dependence on social networks, it is essential to develop a consensus model considering not only their own factors but also the interaction between people. Both external trust relationship among experts and the internal reliability of experts are important factors in decision-making. This paper focuses on improving the scientificity and effectiveness of decision-making and presents a consensus model combining trust relationship among experts and expert reliability in social network group decision-making (SN-GDM). A concept named matching degree is proposed to measure expert reliability. Meanwhile, linguistic information is applied to manage the imprecise and vague information. Matching degree is expressed by a 2-tuple linguistic model, and experts’ preferences are measured by a probabilistic linguistic term set (PLTS). Subsequently, a hybrid weight is explored to weigh experts ’ importance in a group. Then a consensus measure is introduced and a feedback mechanism is developed to produce some personalized recommendations with higher group consensus. Finally, a comparative example is provided to prove the scientificity and effectiveness of the proposed consensus model.

Table and Figures | Reference | Related Articles | Metrics
Blind identification and DOA estimation for array sources in presence of scattering
Ying Xiong, Gaoyi Zhang, Bin Tang, and Hao Cheng
Journal of Systems Engineering and Electronics    2011, 22 (3): 393-397.   DOI: 10.3969/j.issn.1004-4132.2011.03.005
Abstract978)      PDF(pc) (648KB)(708)       Save

A novel identification method for point source, coherently distributed (CD) source and incoherently distributed (ICD) source is proposed. The differences among the point source, CD source and ICD source are studied. According to the different characters of covariance matrix and general steering vector of the array received source, a second order blind identification method is used to separate the sources, the mixing matrix could be obtained. From the mixing matrix, the type of the source is identified by using an amplitude criterion. And the direction of arrival for the array received source is estimated by using the matching pursuit algorithm from the vectors of the mixing matrix.  omputer simulations validate the efficiency of the method.

Related Articles | Metrics
Optimal antenna placement in distributed antenna systems
Zhongzhao Zhang, Zhun Ye, and Weilin Jiang
Journal of Systems Engineering and Electronics    DOI: 10.1109/JSEE.2012.00059
Robust data envelopment analysis based MCDM with the consideration of uncertain data
Ke Wang, and Fajie Wei
Journal of Systems Engineering and Electronics    2010, 21 (6): 981-989.   DOI: 10.3969/j.issn.1004-4132.2010.06.009
Abstract977)      PDF(pc) (339KB)(750)       Save

The application of data envelopment analysis (DEA) as a multiple criteria decision making (MCDM) technique has been gaining more and more attention in recent research. In the practice of applying DEA approach, the appearance of uncertainties on input and output data of decision making unit (DMU) might make the nominal solution infeasible and lead to the efficiency scores meaningless from practical view. This paper analyzes the
impact of data uncertainty on the evaluation results of DEA, and proposes several robust DEA models based on the adaptation of recently developed robust optimization approaches, which would be immune against input and output data uncertainties. The robust DEA models developed are based on input-oriented and outputoriented
CCR model, respectively, when the uncertainties appear in output data and input data separately. Furthermore, the robust DEA models could deal with random symmetric uncertainty and unknown-but-bounded uncertainty, in both of which the distributions of the random data entries are permitted to be unknown. The robust DEA models are implemented in a numerical example and the efficiency scores and rankings of these models are compared.
The results indicate that the robust DEA approach could be a more reliable method for efficiency evaluation and ranking in MCDM problems.

Related Articles | Metrics
Fault tolerant control based on stochastic distribution via RBF neural networks
Zakwan Skaf, Hong Wang, and Lei Guo
Journal of Systems Engineering and Electronics    2011, 22 (1): 63-69.   DOI: 10.3969/j.issn.1004-4132.2011.01.007
Abstract975)      PDF(pc) (934KB)(821)       Save

A new fault tolerant control (FTC) via a controller reconfiguration approach for general stochastic nonlinear systems is studied. Different from the formulation of classical FTC methods, it is supposed that the measured information for the FTC is the probability density functions (PDFs) of the system output rather than its measured value. A radial basis functions (RBFs) neural network technique is proposed so that the output PDFs can be formulated in terms of the dynamic weighings of the RBFs neural network. As a result, the nonlinear FTC problem subject to dynamic relation between the input and the output PDFs can be transformed into a nonlinear FTC problem subject to dynamic relation between the control input and the weights of the RBFs neural network approximation to the output PDFs. The FTC design consists of two steps. The first step is fault detection and diagnosis (FDD), which can produce an alarm when there is a fault in the system and also locate which component has a fault. The second step is to adapt the controller to the faulty case so that the system is able to achieve its target. A linear matrix inequality (LMI) based feasible FTC method is applied such that the fault can be detected and diagnosed. An illustrated example is included to demonstrate the efficiency of the proposed algorithm, and satisfactory results have been obtained.

Related Articles | Metrics
Fault diagnosis method of link control system for gravitational wave detection
Ai GAO, Shengnan XU, Zichen ZHAO, Haibin SHANG, Rui XU
Journal of Systems Engineering and Electronics    2024, 35 (4): 922-931.   DOI: 10.23919/JSEE.2024.000048
Abstract97)   HTML1)    PDF(pc) (6576KB)(25)       Save

To maintain the stability of the inter-satellite link for gravitational wave detection, an intelligent learning monitoring and fast warning method of the inter-satellite link control system failure is proposed. Different from the traditional fault diagnosis optimization algorithms, the fault intelligent learning method proposed in this paper is able to quickly identify the faults of inter-satellite link control system despite the existence of strong coupling nonlinearity. By constructing a two-layer learning network, the method enables efficient joint diagnosis of fault areas and fault parameters. The simulation results show that the average identification time of the system fault area and fault parameters is 0.27 s, and the fault diagnosis efficiency is improved by 99.8% compared with the traditional algorithm.

Table and Figures | Reference | Related Articles | Metrics
Cloud-based predictive adaptive cruise control considering preceding vehicle and slope information
Bolin GAO, Luyao WANG, Shuyan LI, Keke WAN, Xuepeng WANG, Jin ZHANG, Chen WANG, Yanbin LIU, Wei ZHONG
Journal of Systems Engineering and Electronics    2024, 35 (6): 1542-1562.   DOI: 10.23919/JSEE.2024.000108
Abstract97)   HTML0)    PDF(pc) (13631KB)(6)       Save

With the advantage of exceptional long-range traffic perception capabilities and data fusion computational prowess, the cloud control system (CCS) has exhibited formidable potential in the realm of connected assisted driving, such as the adaptive cruise control (ACC). Based on the CCS architecture, this paper proposes a cloud-based predictive ACC (PACC) strategy, which fully considers the road slope information and the preceding vehicle status. In the cloud, based on the dynamic programming (DP), the long-term economic speed planning is carried out by using the slope information. At the vehicle side, the real-time fusion planning of the economic speed and the preceding vehicle state is realized based on the model predictive control (MPC), taking into account the safety and economy of driving. In order to ensure the safety and stability of the vehicle-cloud cooperative control system, an event-triggered cruise mode switching method is proposed based on the state of each subsystem of the vehicle-cloud-network-map. Simulation results indicate that the PACC system can still ensure stable cruising under delays and some complex conditions. Moreover, under normal conditions, compared to the ACC system, the PACC system can further improve economy while ensuring safety and improve the overall energy efficiency of the vehicle, thus achieving fuel savings of 3% to 8%.

Table and Figures | Reference | Related Articles | Metrics
Output feedback based adaptive robust fault-tolerant control for a class of uncertain nonlinear systems
Shreekant Gayaka and Bin Yao
Journal of Systems Engineering and Electronics    2011, 22 (1): 38-51.   DOI: 10.3969/j.issn.1004-4132.2011.01.005
Abstract969)      PDF(pc) (3195KB)(1126)       Save

An adaptive robust approach for actuator fault-tolerant control of a class of uncertain nonlinear systems is proposed. The two chief ways in which the system performance can degrade following an actuator-fault are undesirable transients and unacceptably large steady-state tracking errors. Adaptive control based schemes can achieve good final tracking accuracy in spite of change in system parameters following an actuator fault, and robust control based designs can achieve guaranteed transient response. However, neither adaptive control nor robust control based fault-tolerant designs can address both the issues associated with actuator faults. In the present work, an adaptive robust fault-tolerant control scheme is claimed to solve both the problems, as it seamlessly integrates adaptive and robust control design techniques. Comparative simulation studies are performed using a nonlinear hypersonic aircraft model to show the effectiveness of the proposed scheme over a robust adaptive control based faulttolerant scheme.

Related Articles | Metrics
Object detection based on combination of local and spatial information
Qinkun Xiao, Nan Zhang, Fei Li, and Yue Gao
Journal of Systems Engineering and Electronics    2011, 22 (4): 715-720.   DOI: 10.3969/j.issn.1004-4132.2011.04.023
Abstract969)      PDF(pc) (2576KB)(711)       Save

A method of object detection based on combination of local and spatial information is proposed. Firstly, the categorygiven representative images are chosen through clustering to be templates, and the local and spatial information of template are extracted and generalized as the template feature. At the same time, the codebook dictionary of local contour is also built up. Secondly, based on the codebook dictionary, sliding-window mechanism and the vote algorithm are used to select initial candidate object windows. Lastly, the final object windows are got from initial candidate windows based on local and spatial structure feature matching. Experimental results demonstrate that the proposed approach is able to consistently identify and accurately detect the objects with better performance than the existing methods.

Related Articles | Metrics
Asymptotic controllability of a class of discrete-time systems with disturbances?
Cai Xiushan, Wang Xiao & Xu Xiuling
Journal of Systems Engineering and Electronics    2009, 20 (6): 1296-1300.  
Abstract969)      PDF(pc) (121KB)(360)       Save

This article deals with the uniformly globally asymptotic controllability of discrete nonlinear systems with disturbances. It is shown that the system is uniformly globally asymptotic controllability with respect to a closed set if and only if there exists a smooth control Lyapunov function. Further, it is obtained that the control Lyapunov function may be used to construct a feedback law to stabilize the closed-loop system. In addition, it is proved that for periodic discrete systems, the resulted control Lyapunov functions are also time periodic.

Related Articles | Metrics
Adaptive failure compensation for uncertain systems with multiple inputs
Wei Wang and Changyun Wen
Journal of Systems Engineering and Electronics    2011, 22 (1): 70-76.   DOI: 10.3969/j.issn.1004-4132.2011.01.008
Abstract966)      PDF(pc) (526KB)(802)       Save

The aim of this paper is to develop controllers for uncertain systems in the presence of stuck type actuator failures. A new scheme is proposed to design output feedback controllers for a class of uncertain systems having redundant control inputs, with which the relative degrees of transfer functions are different. To deal with these inputs using backstepping technique, a pre-filter is introduced before each actuator such that its output is the input to the actuator. The orders of the pre-filters are chosen properly to ensure all their inputs can be designed at the same step in the systematic design. To compensate for the effects of possible failed actuators, more uncertain parameters than system parameters are required to be identified. With the proposed scheme, the global boundedness of the closed-loop system can still be ensured and the system output can be regulated to a specific value when some of the actuators' outputs are stuck at unknown fixed values.

Related Articles | Metrics
Rate-distortion weighted SPIHT algorithm for interferometer data processing
Jing Ma,Jindong Fei,and Dong Chen
Journal of Systems Engineering and Electronics    2011, 22 (4): 547-556.   DOI: 10.3969/j.issn.1004-4132.2011.04.001
Abstract964)      PDF(pc) (3182KB)(868)       Save

As one of the next generation imaging spectrometers, the interferential spectrometer (IS) possesses the advantages of high throughput, multi-channel and great resolution. The data of IS are produced in the spatial domain, but optical applications are in the Fourier domain. Traditional compression methods can only protect the visual quality of interferometer data in the spatial domain but ignore the distortion in the Fourier domain. The relation between the distortion in the Fourier domain and the compression in the spatial domain is analyzed. By mathematical proof and validation with experiments, the relation between spatial and Fourier domains is discovered, and the significance in the Fourier domain is more important as optical path difference (OPD) increasing in the spatial domain. Based on this relation, a novel coding scheme is proposed, which can compress data in the spatial domain while reducing the distortion in the Fourier domain. In this scheme, the bit stream of the set partitioning in hierarchical trees (SPIHT) is truncated by adaptively lifting rate-distortion slopes according to the priorities of OPD based on rate-distortion optimization theory. Experimental results show that the proposed method can provide better protection of spectrum curves in the Fourier domain while maintaining a comparable visual quality in the spatial domain.

Related Articles | Metrics
Low complexity hybrid power distribution combined with subcarrier allocation algorithm for OFDMA
Weilin Jiang, Zhongzhao Zhang, Xuejun Sha, and Linan Sun
Journal of Systems Engineering and Electronics    2011, 22 (6): 879-884.   DOI: 10.3969/j.issn.1004-4132.2011.06.001
Abstract964)      PDF(pc) (619KB)(730)       Save

To improve the total throughput of the uplink orthogonal frequency division multiple access system, a low complexity hybrid power distribution (HPD) combined with subcarrier allocation scheme is proposed. For the fairness mechanism for the subcarrier, the inter-cell interference is first analyzed to calculate the capacity of the multi-cell. The user selects the subcarrier with the largest channel gain. Based on the above subcarrier allocation scheme, a new kind of HPD scheme is proposed, which adopts the waterfilling-power-distributed scheme and the equal-power-distributed scheme in the cell-boundary and the cellcenter, respectively. Simulation results show that compared with the waterfilling-power-distributed scheme in the whole cell, the proposed HPD scheme decreases the system complexity significantly, meanwhile its capacity is 2% higher than that of the equal-powerdistributed scheme over the same subcarrier allocation.

Related Articles | Metrics
Pulse-to-pulse periodic signal sorting features and feature extraction in radar emitter pulse sequences
Qiang Guo1,2,*, Zhenshen Qu2, and Changhong Wang2
Journal of Systems Engineering and Electronics    2010, 21 (3): 382-389.   DOI: 10.3969/j.issn.1004-4132.2010.03.006
Abstract962)      PDF(pc) (1053KB)(557)       Save

A novel class of periodically changing features hidden in radar pulse sequence environment, named G features, is proposed. Combining fractal theory and Hilbert-Huang transform, the features are extracted using changing characteristics of pulse parameters in radar emitter signals. The features can be applied in modern complex electronic warfare environment to address the issue of signal sorting when radar emitter pulse signal parameters severely or even completely overlap. Experiment results show that the proposed feature class and feature extraction method can discriminate periodically changing pulse sequence signal sorting features from radar pulse signal flow with complex variant features, therefore provide a new methodology for signal sorting.

Related Articles | Metrics
Doppler radar by using single multicarrier pulse based on optical fibre delay lines
Junqi Duan1,* and Zishu He2
Journal of Systems Engineering and Electronics    2010, 21 (3): 404-407.   DOI: 10.3969/j.issn.1004-4132.2010.03.009
Abstract960)      PDF(pc) (341KB)(552)       Save

The proposed Doppler measurement technique shows that the Doppler measurements can be accomplished by a single pulse with multiple frequency components through optical fibre delay lines. Range and velocity ambiguity can be removed, and the velocity resolution can be improved dramatically by using long optical fibre delay lines. Furthermore, the velocity resolution can be modified by adjusting the length of optical fibre delay lines. In addition, the proposed radar can achieve high range resolution by using a single wideband pulse. As a result, the new approach can improve radar performance significantly.

Related Articles | Metrics
Fuzzy Nash equilibrium of fuzzy n-person non-cooperative game
Xiaohui Yu and Qiang Zhang
Journal of Systems Engineering and Electronics    2010, 21 (1): 47-56.   DOI: 10.3969/j.issn.1004-4132.2010.01.009
Abstract960)      PDF(pc) (284KB)(977)       Save

The fuzzy non-cooperative game with fuzzy payoff function is studied. Based on fuzzy set theory with game theory, the fuzzy Nash equilibrium of fuzzy non-cooperative games is proposed. Most of researchers rank fuzzy number by its center of gravity or by the real number with its maximal membership. By reducing fuzzy number into a real number, we lose much fuzzy information that should be kept during the operations between fuzzy numbers. The fuzzy quantities or alternatives are ordered directly by Yuan’s binary fuzzy ordering relation. In doing so, the existence of fuzzy Nash equilibrium for fuzzy non-cooperative games is shown based on the utility function and the crisp Nash theorem. Finally, an illustrative example in traffic flow patterns of equilibrium is given in order to show the detailed calculation process of fuzzy Nash equilibrium.

Related Articles | Metrics
New three-dimensional guidance law for BTT missiles based on differential geometry and Lie-group
Shuangchun Peng, Liang Pan, Tianjiang Hu, and Lincheng Shen
Journal of Systems Engineering and Electronics    2011, 22 (4): 684-690.   DOI: 10.3969/j.issn.1004-4132.2011.04.019
Abstract960)      PDF(pc) (693KB)(816)       Save

A new non-decoupling three-dimensional guidance law is proposed for bank-to-turn (BTT) missiles with the motion coupling problem. In this method, the different geometry is taken for theoretically modeling on BTT missiles’ motion within the threedimensional style without information loss, and meanwhile, Liegroup is utilized to describe the line-of-sight (LOS) azimuth when the terminal angular constraints are considered. Under these circumstances, a guidance kinematics model is established based on differential geometry. Then, corresponding to no terminal angular constraint and terminal angular constraints, guidance laws are respectively designed by using proportional control and generalized proportional-derivative (PD) control in SO(3) group. Eventually, simulation results validate that this developed method can effectively avoid the complexity of pure Lie-group method and the information loss of the traditional decoupling method as well.

Related Articles | Metrics
A process monitoring method for autoregressive-dynamic inner total latent structure projection
Yalin CHEN, Xiangyu KONG, Jiayu LUO
Journal of Systems Engineering and Electronics    2024, 35 (5): 1326-1336.   DOI: 10.23919/JSEE.2024.000105
Abstract96)   HTML0)    PDF(pc) (3060KB)(19)       Save

As a dynamic projection to latent structures (PLS) method with a good output prediction ability, dynamic inner PLS (DiPLS) is widely used in the prediction of key performance indicators. However, due to the oblique decomposition of the input space by DiPLS, there are false alarms in the actual industrial process during fault detection. To address the above problems, a dynamic modeling method based on autoregressive-dynamic inner total PLS (AR-DiTPLS) is proposed. The method first uses the regression relation matrix to decompose the input space orthogonally, which reduces useless information for the prediction output in the quality-related dynamic subspace. Then, a vector autoregressive model (VAR) is constructed for the prediction score to separate dynamic information and static information. Based on the VAR model, appropriate statistical indicators are further constructed for online monitoring, which reduces the occurrence of false alarms. The effectiveness of the method is verified by a Tennessee-Eastman industrial simulation process and a three-phase flow system.

Table and Figures | Reference | Related Articles | Metrics
UAV maneuvering decision-making algorithm based on deep reinforcement learning under the guidance of expert experience
Guang ZHAN, Kun ZHANG, Ke LI, Haiyin PIAO
Journal of Systems Engineering and Electronics    2024, 35 (3): 644-665.   DOI: 10.23919/JSEE.2024.000022
Abstract96)   HTML1)    PDF(pc) (5348KB)(21)       Save

Autonomous umanned aerial vehicle (UAV) manipulation is necessary for the defense department to execute tactical missions given by commanders in the future unmanned battlefield. A large amount of research has been devoted to improving the autonomous decision-making ability of UAV in an interactive environment, where finding the optimal maneuvering decision-making policy became one of the key issues for enabling the intelligence of UAV. In this paper, we propose a maneuvering decision-making algorithm for autonomous air-delivery based on deep reinforcement learning under the guidance of expert experience. Specifically, we refine the guidance towards area and guidance towards specific point tasks for the air-delivery process based on the traditional air-to-surface fire control methods. Moreover, we construct the UAV maneuvering decision-making model based on Markov decision processes (MDPs). Specifically, we present a reward shaping method for the guidance towards area and guidance towards specific point tasks using potential-based function and expert-guided advice. The proposed algorithm could accelerate the convergence of the maneuvering decision-making policy and increase the stability of the policy in terms of the output during the later stage of training process. The effectiveness of the proposed maneuvering decision-making policy is illustrated by the curves of training parameters and extensive experimental results for testing the trained policy.

Table and Figures | Reference | Related Articles | Metrics
Rotational parameters estimation of maneuvering target in ISAR imaging
Wenchen Li, Jin Liu, Xuesong Wang, Shunping Xiao, and Guoyu Wang
Journal of Systems Engineering and Electronics    2010, 21 (1): 41-46.   DOI: 10.3969/j.issn.1004-4132.2010.01.008
Abstract957)      PDF(pc) (646KB)(532)       Save

The rotational parameters estimation of maneuvering target is the key of cross-range scaling of ISAR (inverse synthetic aperture radar), which can be used in the target feature extraction. The cross-range signal model of rotating target with fixed acceleration is presented and the weighted linear least squares estimation of rotational parameters with fixed velocity or acceleration is proposed via the relationship of cross-range FM (frequency modulation) parameter, scatterers coordinates and rotational parameters. The FM parameter is calculated via RWT (Radon-Wigner transform). The ISAR imaging and cross-range scaling based on scaled RWT imaging method are implemented after obtaining rotational parameters. The rotational parameters estimation and cross-range scaling are validated by the ISAR processing of experimental radar data, and the method presents good application foreground to the ISAR imaging and scaling of maneuvering target.

Related Articles | Metrics
Compressed sensing based channel estimation for fast fading OFDM systems
Xiaoping Zhou, Yong Fang, and Min Wang
Journal of Systems Engineering and Electronics    2010, 21 (4): 550-556.   DOI: 10.3969/j.issn.1004-4132.2010.04.004
Abstract956)      PDF(pc) (617KB)(830)       Save
A compressed sensing (CS) based channel estimation algorithm is proposed by using the delay-Doppler sparsity of the fast fading channel. A compressive basis expansion channel model with sparsity in both time and frequency domains is given. The pilots in accordance with a novel random pilot matrix in both time and frequency domains are sent to measure the delay-Doppler sparsity channel. The relatively nonzero channel coefficients are tracked by random pilots at a sampling rate significantly below the Nyquist rate. The sparsity channels are estimated from a very limited number of channel measurements by the basis pursuit algorithm. The proposed algorithm can effectively improve the channel estimation performance when the number of pilot symbols is reduced with improvement of throughput efficiency.

Related Articles | Metrics
Research on robust mean square stability of networked control systems with packet dropout
Dexiao Xie, Xiaodong Han, He Huang, and Zhiquan Wang
Journal of Systems Engineering and Electronics    2010, 21 (1): 95-101.   DOI: 10.3969/j.issn.1004-4132.2010.01.016
Abstract955)      PDF(pc) (618KB)(572)       Save

This paper is concerned with the robust stabilization problem of networked control systems with stochastic packet
dropouts and uncertain parameters. Considering the stochastic packet dropout occuring in two channels between the sensor and the controller, and between the controller and the actuator, networked control systems are modeled as the Markovian jump linear system with four operation modes. Based on this model, the necessary and sufficient conditions for the mean square stability of the deterministic networked control systems and uncertain networked
control systems are given by using the theory of the Markovian jump linear system, and corresponding controller design procedures are proposed via the cone complementarity linearization method. Finally, the numerical example and simulations are given to illustrate the effectiveness of the proposed results.

Related Articles | Metrics
Reference tracking control for flexible air-breathing hypersonic vehicle with actuator delay and uncertainty
Hongyi Li, Yiming Cheng, Yulin Si, and Huijun Gao
Journal of Systems Engineering and Electronics    2011, 22 (1): 141-145.   DOI: 10.3969/j.issn.1004-4132.2011.01.018
Abstract953)      PDF(pc) (569KB)(1168)       Save

This paper considers the problem of reference tracking control for the flexible air-breathing hypersonic flight vehicle with actuator delay and uncertainty. By constructing the Lyapunov functional including the lower and upper bounds of the time-varying delay, the non-fragile controller is designed such that the resulting closed-loop system is asymptotically stable and satisfies a prescribed performance cost index. The simulation results are given to show the effectiveness of the proposed control method, which is validated by excellent output reference altitude and velocity tracking performance.

Related Articles | Metrics
Stabilizing model predictive control scheme for piecewise affine systems with maximal positively invariant terminal set
Fu Chen, Guangzhou Zhao, and Xiaoming Yu
Journal of Systems Engineering and Electronics    2010, 21 (6): 1090-1094.   DOI: 10.3969/j.issn.1004-4132.2010.06.024
Abstract953)      PDF(pc) (652KB)(907)       Save

An efficient algorithm is proposed for computing the solution to the constrained finite time optimal control (CFTOC) problem for discrete-time piecewise affine (PWA) systems with a quadratic performance index. The maximal positively invariant terminal set, which is feasible and invariant with respect to a feedback control law, is computed as terminal target set and an associated Lyapunov function is chosen as terminal cost. The combination of these two components guarantees constraint satisfaction and closed-loop stability for all time. The proposed algorithm combines a dynamic programming strategy with a multi-parametric quadratic programming solver and basic polyhedral manipulation. A numerical example shows that a larger stabilizable set of states can be obtained by the proposed algorithm than precious work.

Related Articles | Metrics
Bayesian sequential state estimation for MIMO-OFDM systems
Maoge Xu and Yaoliang Song
Journal of Systems Engineering and Electronics    2010, 21 (1): 148-153.   DOI: 10.3969/j.issn.1004-4132.2010.01.024
Abstract952)      PDF(pc) (1835KB)(620)       Save

For the estimation of MIMO frequency selective channel, to mitigate the curse of dimensionality, a novel particle filtering scheme combined with time delay domain processing is proposed. In order to extract the time delay domain channel impulse response from the observed signal, the least-squares (LS) and minimum mean squared error (MMSE) criteria are discussed and the comparable performance of LS with MMSE for samplespaced channel is revealed. Incorporated the dynamical channel model, gradient particle filtering is further introduced to improve the estimation performance. The robustness of the channel estimator for underestimated Doppler frequency and the effectiveness of the new estimation scheme are illustrated through simulation at last.

Related Articles | Metrics
Robust fault diagnosis with disturbance rejection and attenuation for systems with multiple disturbances
Songyin Cao, Lei Guo, and Xinyu Wen
Journal of Systems Engineering and Electronics    2011, 22 (1): 135-140.   DOI: 10.3969/j.issn.1004-4132.2011.01.017
Abstract951)      PDF(pc) (816KB)(977)       Save

The fault diagnosis problem is investigated for a class of nonlinear neutral systems with multiple disturbances. Time-varying faults are considered and multiple disturbances are supposed to include the unknown disturbance modeled by an exo-system and norm bounded uncertain disturbance. A nonlinear disturbance observer is designed to estimate the modeled disturbance. Then, the fault diagnosis observer is constructed by integrating disturbance observer with disturbance attenuation and rejection performances. The augmented Lyapunov functional approach, which involves the tuning parameter and slack variable, is applied to make the solution of inequality more flexible. Finally, applications for a two-link robotic manipulator system are given to show the efficiency of the proposed approach.

Related Articles | Metrics