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25 September 2006, Volume 17 Issue 3
2006, 17(3):  0. 
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Characteristics and realization of the second generation surface acoustic wave's wavelet device*
Wen Changbao, Zhu Changchun, Lu Wenke, Lz'w Qinghong & Lzw Junhua
2006, 17(3):  467-472.  doi:10.1016/S1004-4132(06)60080-7
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To overcome the bulk acoustic wave (BAW), the triple transit signals and the discontinuous frequency
band in the first generation surface acoustic wave's (FGSAW's) wavelet device, the full transfer multistrip coupler
(MSC) is applied to implement wavelet device, and a novel structure of the second generation surface acoustic
wave's (SGSAW's) wavelet device is proposed. In the SGSAW's wavelet device, the BAW is separated and eliminated in different acoustic propagating tracks, and the triple transit signal is suppressed. For arbitrary wavelet scale
device, the center frequency is three times the radius of frequency band, which ensures that the frequency band of
the SGSAW's wavelet device is continuous, and avoids losing signals caused by the discontinuation of frequency
band. Experimental result confirms that the BAW suppression, ripples in band, receiving loss and insertion loss of
the SGSAW' s wavelet device are remarkably improved compared with those of the FGSAW' s wavelet device.
Target tracking based on frequency spectrum amplitude
Guo Huidong, Zhang Xinhua & Xfa Zhijun
2006, 17(3):  473-476.  doi:10.1016/S1004-4132(06)60081-9
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The amplitude of frequency spectrum can be integrated with probabilistic data association (PDA) to distinguish the
target with clutter echoes, especially in low SNR underwater environment A new target-tracking algorithm is presented which
adopts the amplitude of frequency spectrum to improve target tracking in clutter. The probabilistic density distribution of fre
quency spectrum amplitude is analyzed By simulation, the results show that the algorithm is superior to PDA This approach
enhances stability for the association probability and increases the performance of target tracking.
Research on a novel restoration algorithm of turbulence-degraded images with alternant iterations
Liu Chunsheng, Hong Hanyu & Zhang Tianxu
2006, 17(3):  477-482.  doi:10.1016/S1004-4132(06)60082-0
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A new restoration algorithm based on double loops and alternant iterations is proposed to restore the ob
ject image effectively from a few frames of turbulence-degraded images. Based on the double loops, the iterative re
lations for estimating the turbulent point spread function PSF and object image alternately are derived. The restora
tion experiments have been made on computers, showing that the proposed algorithm can obtain the optimal estima
tions of the object and the point spread function, with the feasibility and practicality of the proposed algorithm being
Efficient structures for wideband digital receiver'
Wa/zg Hong, Lu Youxin , Warcg Xuegang & Waw Yonglun
2006, 17(3):  483-386.  doi:10.1016/S1004-4132(06)60083-2
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Digital receivers have become more and more popular in radar, communication, and electric warfare for
the advantages compared with their analog counterparts. But conventional digital receivers have been generally considered impractical for bandwidth greater than several hundreds MHz. To extend receiver bandwidth, decrease data
rate and save hardware resources, three novel structures are proposed. They decimate the data stream prior to mixing and filtering, then process the multiple decimated streams in parallel at a lower rate. Consequently it is feasible
to realize wideband receivers on the current ASIC devices. A design example and corresponding simulation results
are demonstrated to evaluate the proposed structures.
Dynamic weighted voting for multiple classifier fusion: a generalized rough set method#br#
Swrc Liang & Haw Chongzhao
2006, 17(3):  487-494.  doi:10.1016/S1004-4132(06)60084-4
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To improve the performance of multiple classifier system, a knowledge discovery based dynamic weighted
voting (KD-DWV) is proposed based on knowledge discovery. In the method, all base classifiers may be allowed to
operate in different measurement/ feature spaces to make the most of diverse classification informatioa The weights
assigned to each output of a base classifier are estimated by the separability of training sample sets in relevant feature space. For this purpose, some decision tables (DTs) are established in terms of the diverse feature sets. And
then the uncertainty measures of the separability are induced, in the form of mass functions in Dempster-Shafer theory (DST), from each DTs based on generalized rough set model. From the mass functions, all the weights are calculated by a modified heuristic fusion function and assigned dynamically to each classifier varying with its output
The comparison experiment is performed on the hyperspectral remote sensing images. And the experimental results
show that the performance of the classification can be improved by using the proposed method compared with the
plurality voting (PV)
Uncertain information fusion with robust adaptive neural networks-fuzzy reasoning
Zhang Yinan , SMTZ Qingwei, Qwan He , Jzw Yonggao & Quan Tax fan
2006, 17(3):  495-501.  doi:10.1016/S1004-4132(06)60085-6
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In practical multi-sensor information fusion systems, there exists uncertainty about the network structure, active state of sensors, and information itself (including fuzziness, randomness, incompleteness as well as roughness, etc). Hence it requires investigating the problem of uncertain information fusioa Robust learning algorithm which adapts to complex environment and the fuzzy inference algorithm which disposes fuzzy information are explored to solve the problem. Based on the fusion technology of neural networks and fuzzy inference algorithm, a multi-sensor uncertain information fusion system is modeled. Also RANFIS learning algorithm and fusing weight synthesized inference algorithm are developed from the ANFIS algorithm according to the concept of robust neural
networks. This fusion system mainly consists of RANFIS confidence estimator, fusing weight synthesized inference
knowledge base and weighted fusion sectioa The simulation result demonstrates that the proposed fusion model
and algorithm have the capability of uncertain information fusion, thus is obviously advantageous compared with the
conventional Kaiman weighted fusion algorithm.
IAE-adaptive Kaiman filter for INS/GPS integrated navigation system
Bian Hongwei, Jin Zhihua & Tian Weif eng
2006, 17(3):  502-508.  doi:10.1016/S1004-4132(06)60086-8
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A marine INS/GP S adaptive navigation system is presented. GPS with two antenna providing vessel'
s altitude is selected as the auxiliary system fusing with INS to improve the performance of the hybrid system.
T he Kaiman filter is the most frequently used algorithm in the integrated navigation system, which is capable of
estimating INS errors online based on the measured errors between INS and GPS. The standard Kaiman filter
( SKF) assumes that the statistics of the noise on each sensor are given. As long as the noise distributions do not
change, the Kaiman filter will give the optimal estimation. However GPS receiver will be disturbed easily and
thus temporally changing measurement noise will join into the outputs of GPS , which will lead to performance
degradation of the Kaiman filter. Many researchers introduce fuzzy logic control method into innovation-based a
daptive estimation adaptive Kaiman filtering (IAE-AKF ) algorithm, and accordingly propose various adaptive
Kaiman filters. However how to design the fuzzy logic controller is a very complicated problem still without a
convincing solution. A novel IAE-AKF is proposed herein, which is based on the maximum likelihood criterion
for the proper computation of the filter innovation covariance and hence of the filter gain. Th e approach is di
rect and simple without having to establish fuzzy inference rules. After having deduced the proposed IAE
A K F algorithm theoretically in detail, the approach is tested by the simulation based on the system error mod-
el of the developed INS/GP S integrated marine navigation system. Simulation results show that the adaptive
Kaiman filter outperforms the SKF with higher accuracy, robustness and less computation. It is demonstra
ted that this proposed approach is a valid solution for the unknown changing measurement noise exited in the
Kaiman filter.
Blind channel identication of nonlinear folding mixing model
Su Yong , Xu Shangzhi & Ye Zhongfu
2006, 17(3):  509-512.  doi:10.1016/S1004-4132(06)60087-X
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Signals from multi-sensor systems are often mixtures of (statistically) independent sources by unknown
mixing method. Blind source separation(BSS) and independent component analysis(ICA) are the methods to identify/recover the channels and the sources. BSS/ICA of nonlinear mixing models are difficult problems. For instance,
the post-nonlinear model has been studied by several authors. It is noticed that in most cases, the proposed
models are always with an invertible mixing. According to this fact there is an interesting question: how about
the situation of the non-invertible non-linear mixing in BSS or ICA? A new simple non-linear mixing model is
proposed with a kind of non-invertible mixing, the folding mixing, and method to identify its channel, blindly.
Novel satellite transport protocol with on-board spoofing proxy
Liu Jiong, Cao Zhigang & Wang Jinglin
2006, 17(3):  513-520.  doi:10.1016/S1004-4132(06)60088-1
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As a result of the exponential growing rate of worldwide Internet usage, satellite systems are required to
support broadband Internet applications. The transmission control protocol (TCP) which is widely used in the Internet, performs very well on wired networks. However, in the case of satellite channels, due to the delay and
transmission errors, TCP performance degrades significantly and bandwidth of satellite links can not be fully utilized. To improve the TCP performance, a new idea of placing a TCP spoofing proxy in the satellite is considered.
A Novel Satellite Transport Protocol (NSTP) which takes advantage of the special properties of the satellite channel is also proposed. By using simulation, as compared with traditional TCPs, the on-board spoofing proxy integrated with the special transport protocol can significantly enhance throughput performance on the high BER satellite link, the time needed to transfer files and the bandwidth used in reverse path are sharply reduced.
Wavelet neural network based fault diagnosis in nonlinear analog circuits
Yin Shirong, Chen Guangju & Xie Yongle
2006, 17(3):  521-526.  doi:10.1016/S1004-4132(06)60089-3
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The theories of diagnosing nonlinear analog circuits by means of the transient response testing are studied. Wavelet analysis is made to extract the transient response signature of nonlinear circuits and compress the signature dada. The best wavelet function is selected based on the between-category total scatter of signature. The
fault dictionary of nonlinear circuits is constructed based on improved back-propagation (BP) neural network. Experimental results demonstrate that the method proposed has high diagnostic sensitivity and fast fault identification
and deducibility.
Robust control of uncertain time delay system: a novel sliding mode control design via LMI
Qu Shaocheng & Wang Yongji
2006, 17(3):  524-528.  doi:10.1016/S1004-4132(06)60107-2
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The sliding mode control problem (SMC) is studied for a class of uncertain delay system in the presence
of both parameter uncertainties and external disturbances. A novel virtual feedback control method is presented.
Based on Lyapunov theory, sufficient conditions for design of the robust sliding mode plane are derived. Sliding
mode controller based on reaching law concept is developed, which is to ensure system trajectories from any initial
conditions asymptotically convergent to sliding mode plane. The global asymptotically stability of the closed-loop
system is guaranteed A numerical example with simulation results is given to illustrate the effectiveness of the
Application of uniform DFT filter bank in radar jamming system
Dai Le & Gao Meiguo
2006, 17(3):  527-530.  doi:10.1016/S1004-4132(06)60090-X
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The principle of uniform DFT filter bank is presented. Exploiting poly-phase structure, radar jamming
system samples the intercepted wideband radar signals through analysis filter bank by different channels and linearly
modulates the intercepted radar signal according to the theory of signal and system, then synthesizes the jamming
signal through the synthesis filter bank. The method merely requires lower sample frequency, reduces the computational complexity and the data quantity to be processed. The un-ideal filter's influence to the result of signals processing is analyzed by simulating the match filter in radar jamming system.
Sensor management based on fisher information gain
Tian Kangsheng & Zhu Guangxi
2006, 17(3):  531-534.  doi:10.1016/S1004-4132(06)60091-1
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Multi-sensor system is becoming increasingly important in a variety of military and civilian applications.
In general, single sensor system can only provide partial information about environment while multi-sensor system
provides a synergistic effect, which improves the quality and availability of informatioa Data fusion techniques can
effectively combine this environmental information from similar and/or dissimilar sensors. Sensor management, aiming at improving data fusion performance by controlling sensor behavior, plays an important role in a data fusion
process. This paper presents a method using fisher information gain based sensor effectiveness metric for sensor assignment in multi-sensor and multi-target tracking applications. The fisher information gain is computed for every
sensor-target pairing on each scan. The advantage for this metric over other ones is that the fisher information gain
for the target obtained by multi-sensors is equal to the sum of ones obtained by the individual sensor, so standard
transportation problem formulation can be used to solve this problem without importing the concept of pseudo sensor. The simulation results show the effectiveness of the method.
Evolution of two properties for scale-free network
Li Showwei & Qian Xingsan
2006, 17(3):  535-540.  doi:10.1016/S1004-4132(06)60092-3
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Fitness of node can denote its competing power and clustering denotes the transitivity of network. Because the fitness of node is uncertain or fuzzy in some social networks, an explicit form of the degree distribution on
fuzzy fitness is derived within a mean field approach. It is a weighted sum of different fuzzy fitness. It can be found
that the fuzzy fitness of nodes may lead to multiscaling. Moreover, the clustering coefficient of node decays as pow-
er law and clustering coefficient of network behavior not-decrease-but-increase' phenomenon after some time. Some
computer simulation results of these models illustrate these analytical results.

Novel algorithm for constructing support vector machine regression ensemble
Li Bo , Li Xinjun & Ζhao Zhiyan
2006, 17(3):  541-545.  doi:10.1016/S1004-4132(06)60093-5
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A novel algorithm for constructing support vector machine regression ensemble is proposed. As to regression prediction, support vector machine regression (SVMR) ensemble is proposed by resampling from given training data sets repeatedly and aggregating several independent SVMRs, each of which is trained to use a replicated training set. After training, several independently trained SVMRs need to be aggregated in an appropriate combination manner. Generally, the linear weighting is usually used like expert weighting score in Boosting Regression and it is without optimization capacity. Three combination techniques are proposed, including simple arithmetic mean, linear least square error weighting and nonlinear hierarchical combining that uses another upper-layer SVMR to
combine several lower-layer SVMRs. Finally, simulation experiments demonstrate the accuracy and validity of the presented algorithm.

Multi-criteria classification approach with polynomial aggregation function and incomplete
Wang Jianqiang
2006, 17(3):  546-550.  doi:10.1016/S1004-4132(06)60094-7
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The relationship between the importance of criterion and the criterion aggregation function is discussed,
criterion's weight and combinational weights between some criteria are defined, and a multi-criteria classification
method with incomplete certain information and polynomial aggregation function is proposed First, linear programming is constructed by classification to reference alternative set (assignment examples) and incomplete certain information on criterion's weights. Then the coefficient of the polynomial aggregation function and thresholds of categories are gained by solving the linear programming. And the consistency index of alternatives is obtained, the classification of the alternatives is achieved. The certain criteria's values of categories and uncertain criteria's values of categories are discussed in the method. Finally, an example shows the feasibility and availability of this method.
Remarks on a benchmark nonlinear constrained optimization problem
Luo Yazhong , Lei Yongjun & Tang Guojin
2006, 17(3):  551-553.  doi:10.1016/S1004-4132(06)60095-9
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Remarks on a benchmark nonlinear constrained optimization problem are made. Due to a citation error,
two absolutely different results for the benchmark problem are obtained by independent researchers. Parallel simulated annealing using simplex method is employed in our study to solve the benchmark nonlinear constrained problem with mistaken formula and the best-known solution is obtained, whose optimality is testified by the Kuhn Tucker conditions.
Dual worth trade-off method and its application for solving multiple criteria decision
Feng J univen
2006, 17(3):  554-558.  doi:10.1016/S1004-4132(06)60096-0
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To overcome the limitations of the traditional surrogate worth trade-off (SWT) method and solve the
multiple criteria decision making problem more efficiently and interactively, a new method labeled dual worth trade off (DWT) method is proposed. The DWT method dynamically uses the duality theory related to the multiple criteria decision making problem and analytic hierarchy process technique to obtain the decision maker's solution preference information and finally find the satisfactory compromise solution of the decision maker. Through the interactive process between the analyst and the decision maker, trade-off information is solicited and treated properly, the representative subset of efficient solutions and the satisfactory solution to the problem are found. The implementation procedure for the DWT method is presented. The effectiveness and applicability of the DWT method are shown
by a practical case study in the field of production scheduling
Survey of the research on dynamic weapon-target assignment problem
Cat Huaiping , Liu Jingxu, Chen Yingvuu & Wang Hao
2006, 17(3):  559-565.  doi:10.1016/S1004-4132(06)60097-2
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The basic concepts and models of weapon-target assignment (WTA) are introduced and the mathematical
nature of the WTA models is also analyzed. A systematic survey of research on WTA problem is provided. The
present research on WTA is focused on models and algorithms. In the research on models of WTA, the static WTA
models are mainly studied and the dynamic WTA models are not fully studied in deed. In the research on algorithms
of WTA, the intelligent algorithms are often used to solve the WTA problem. The small scale of static WTA problems has been solved very well, however, the large scale of dynamic WTA problems has not been solved effectively
so far. Finally, the characteristics of dynamic WTA are analyzed and directions for the future research on dynamic
WTA are discussed.
Selection of the best initial orbital elements of satellite based on fuzzy integration evaluation method
Yang YongJ an, Zhang Hongzvei, Feng Zuren & Luo Yongjin
2006, 17(3):  566-570.  doi:10.1016/S1004-4132(06)60098-4
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The fuzzy integration evaluation method (FIEM) is studied in order to select the best orbital elements
from the multi-group initial orbits determined by a satellite TT&C (Tracking, Telemetry and Control) center with
all kinds of data sources. By employing FIEM together with the experience of TT&.C experts, the index system to
evaluate the selection of the best initial orbits is established after the data sources and orbit determination theories
are studied. Besides, the concrete steps in employing the method are presented. Moreover, by taking the objects to
be evaluated as evaluation experts, the problem of how to generate evaluation matrices is solved. Through practical
application, the method to select the best initial orbital elements has been proved to be flexible and effective. The originality of the method is to find a new evaluation criterion (comparing the actually tracked orbits) replacing the
traditional one (comparing the nominal orbits) for selecting the best orbital elements.
Robust Hoo control for uncertain descriptor systems with state and control delay
Piao Fengxian, Zhang Qingling & Ma Xiuzhen
2006, 17(3):  571-575.  doi:10.1016/S1004-4132(06)60099-6
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The problem of robust stabilization for uncertain continuous descriptor system with state and control delay is
considered The time-varying parametric uncertainty is assumed to be norm-bounded The purpose of the robust stabilization is to design a memoryless state feedback law such that the resulting closed-loop system is robustly stable. A sufficient
condition that uncertain continuous descriptor system is robustly stabilizabled by state feedback law is derived in terms of line-
ar matrix inequality (LMI). Finally, a numerical example is provided to demonstrate the application of the proposed method
Sliding mode H^ control for a class of uncertain nonlinear state-delayed systems
Wu Ligang, Wang Changhong, Gao Huijun & Zhang Lixian
2006, 17(3):  576-585.  doi:10.1016/S1004-4132(06)60100-X
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A new proportional-integral (PI) sliding surface is designed for a class of uncertain nonlinear state-delayed systems. Based on this, an adaptive sliding mode controller (ASMC) is synthesized, which guarantees the occurrence of sliding mode even when the system is undergoing parameter uncertainties and external disturbance. The resulting sliding mode has the same order as the original system, so that it becomes easy to solve the Hoo control problem by designing a memoryless Hoo state feedback controller. A delay-dependent sufficient condition is proposed in terms of linear matrix inequalities (LMIs), which guarantees the sliding mode robust asymptotically stable and has a noise attenuation level y in an iioo sense. The admissible state feedback controller can be found by solving
a sequential minimization problem subject to LMI constraints by applying the cone complementary linearization method This design scheme combines the strong robustness of the sliding mode control with the Hoo norm performance. A numerical example is given to illustrate the effectiveness of the proposed scheme.
Block and parallel modelling of broad domain nonlinear continuous mapping based on NN
Yang Guowei, Tu Xuyan & Wang Shoujue
2006, 17(3):  586-592.  doi:10.1016/S1004-4132(06)60101-1
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The necessity of the use of the block and parallel modeling of the nonlinear continuous mappings with NN
is firstly expounded quantitatively. Then, a practical approach for the block and parallel modeling of the nonlinear
continuous mappings with NN is proposed. Finally, an example indicating that the method raised in this paper can
be realized by suitable existed software is given. The results of the experiment of the model discussed on the 3-D
Mexican straw hat indicate that the block and parallel modeling based on NN is more precise and faster in computation than the direct ones and it is obviously a concrete example and the development of the large-scale general model
established by Tu Xuyaa.
Parameterized design of nonlinear feedback controllers for servo positioning systems
Cheng Guoyang & Jin Wenguang
2006, 17(3):  593-599.  doi:10.1016/S1004-4132(06)60102-3
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To achieve fast, smooth and accurate set point tracking in servo positioning systems, a parameterized design of nonlinear feedback controllers is presented, based on a so-called composite nonlinear feedback (CNF) control technique. The controller designed here consists of a linear feedback part and a nonlinear part. The linear part is responsible for stability and fast response of the closed-loop system. The nonlinear part serves to increase the damping ratio of closed-loop poles as the controlled output approaches the target reference. The CNF control brings together the good points of both the small and the large damping ratio cases, by continuously scheduling the damping ratio of the dominant closed-loop poles and thus has the capability for superior transient performance, i. e. a fast output response with low overshoot. In the presence of constant disturbances, an integral action is included so as to remove the static bias. An explicitly parameterized controller is derived for servo positioning systems characterized by second-order model. Practical application in a micro hard disk drive servo system is then presented, together with some discussion of the rationale and characteristics of such design. Simulation and experimental results demonstrate the effectiveness of this control design methodology.
PD-type iterative learning control for nonlinear time-delay system with external disturbance
Zhang Baolin Tang Gong you & Zheng Shi
2006, 17(3):  600-605.  doi:10.1016/S1004-4132(06)60103-5
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The PD-type iterative learning control design of a class of affine nonlinear time-delay systems with external disturbances is considered. Sufficient conditions guaranteeing the convergence of the n-norm of the tracking error are derived. It is shown that the system outputs can be guaranteed to converge to desired trajectories in the absence of external disturbances and output measurement noises. And in the presence of state disturbances and measurement noises, the tracking error will be bounded uniformly. A numerical simulation example is presented to validate the effectiveness of the proposed scheme.
Design of unknown input observer with H^ performance for linear time-delay systems
Fu Yanming, Wu Di, Zhang Peng & Duan Guangren
2006, 17(3):  606-610.  doi:10.1016/S1004-4132(06)60104-7
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A unknown input observer (UIO) design for a class of linear time-delay systems when the observer error can't
completely decouple from unknown input is dealt with A sufficient condition to its existence is presented based on Lyapunov stability method Design problem of the proposed observer is formulated in term of linear matrix inequalities. Two
design problems of the observer with internal delay and without internal delay are formulated Based on He control theory
in time-delay systems, the proposed observer is designed in term of linear matrix inequalities (LMI). A design algorithm is
proposed The effective of the proposed approach is illustrated by a numerical example.
Adaptive neural network tracking control for a class of unknown nonlinear time-delay systems
Chen Weisheng & Li Junmin
2006, 17(3):  611-618.  doi:10.1016/S1004-4132(06)60105-9
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For a class of unknown nonlinear time-delay systems, an adaptive neural network (NN) control design
approach is proposed. Backstepping, domination and adaptive bounding design technique are combined to construct
a robust memoryless adaptive NN tracking controller. Unknown time-delay functions are approximated by NNs,
such that the requirement on the nonlinear time-delay functions is relaxed. Based on Lyapunov-Krasoviskii functional, the sem-global uniformly ultimately boundedness (UUB) of all the signals in the closed-loop system is proved
The arbitrary output tracking accuracy is achieved by tuning the design parameters. The feasibility is investigated
by an illustrative simulation example.
Direct adaptive control for nonlinear uncertain system based on control Lyapunov function method
Chen Yimei, Han Zhengzhi & Tang Houjun
2006, 17(3):  619-623.  doi:10.1016/S1004-4132(06)60106-0
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The problem of adaptive stabilization of a class of multi-input nonlinear systems with unknown parameters
both in the state vector-field and the input vector-field has been considered. By employing the control Lyapunov
function method, a direct adaptive controller is designed to complete the global adaptive stability of the uncertain
system. At the same time, the controller is also verified to possess the optimality. Example and simulations are
provided to illustrate the effectiveness of the proposed method.
Robust output-feedback stabilization of a class of nonlinear systems with the nonlinearities
Sun Xiping & Wang Yongji
2006, 17(3):  629-634.  doi:10.1016/S1004-4132(06)60108-4
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The back-stepping designs based on confine functions are suggested for the robust output-feedback global stabilization of a class of nonlinear continuous systems; the proposed stabilizer is efficient for the nonlinear continuous systems confined by a bound function, the nonlinearities of the systems may be of varied forms or uncertain; the designed stabilizer is robust means that a class of nonlinear continuous systems can be stabilized by the same output feedback stabilization schemes; numerical simulation examples are given.
Approach to conceptual data integration for multidimensional data analysis in e-commerce
Zhang Zhe & Huang Pet
2006, 17(3):  635-641.  doi:10.1016/S1004-4132(06)60109-6
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In e-commerce the multidimensional data analysis based on the Web data needs integrating various data sources such as XML data and relational data on the conceptual level. A conceptual data description approach to multidimensional data model the UML galaxy diagram is presented in order to conduct multidimensional data analysis for multiple subjects. The approach is illuminated using a case of 2_roots UML galaxy diagram that takes marketing analysis of TV products involved one retailer and several suppliers into consideration.
Multicast routing algorithm of multiple QoS based on widest-bandwidth
Chen Niansheng , Li La yuan , Dong Wushi
2006, 17(3):  642-647.  doi:10.1016/S1004-4132(06)60110-2
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A multicast routing algorithm of multiple QoS constraints based on widest-bandwidth (MRQW) which
takes available bandwidth as the prime metric, considering the constraints of the surplus energy of the node, delay
and delay jitter, is presented. The process of routing based on MRQW is provided for as well. Correctness proof and
the complexity analysis of the MRQW are also given in the paper. Simulation results show that the MRQW has a
good performance in creating multicast trees. It not only satisfys multiple QoS constraints but also makes multicast
links have larger available bandwidth.
Random walk search in unstructured P2P
Jia Zhaoqing , You Jin yuan , Rao Ruonan & Li Minglu
2006, 17(3):  648-653.  doi:10.1016/S1004-4132(06)60111-4
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Unstructured P2P has power-law link distribution, and the random walk in power-law networks is analyzed. The analysis results show that the probability that a random walker walks through the high degree nodes is high in the power-law network, and the information on the high degree nodes can be easily found through random walk. Random walk spread and random walk search method (RWSS) is proposed based on the analysis result. Simulation results show that RWSS achieves high success rates at low cost and is robust to high degree node failure.
Job shop scheduling problem based on DNA computing
Yin Zhixiang, Cut Jianzhong, Yang Yan & Ma Ying
2006, 17(3):  654-659.  doi:10.1016/S1004-4132(06)60112-6
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To solve job shop scheduling problem, a new approach-DNA computing is used in solving job shop scheduling problem, The approach using DNA computing to solve job shop scheduling is divided into three stands. Finally, optimum solutions are obtained by sequencing. A small job shop scheduling problem is solved in DNA computing, and the "operations" of the computation were performed with standard protocols, as ligation, synthesis, electrophoresis etc This work represents further evidence for the ability of DNA computing to solve NP-complete search problems.
Dynamic resource management using bandwidth brokers
Yu Chengzhi, Song Hantao , Hou Xianjun & Pan Chengsheng
2006, 17(3):  660-668.  doi:10.1016/S1004-4132(06)60113-8
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The admission control issue in the design of a centralized bandwidth broker model for dynamic control and management of QoS provisioning is studied. A two-phase differentiated flow treatment based dynamic admission control scheme under the centralized bandwidth broker model is proposed. In the proposed scheme, the flow requests are classified into two classes and get differentiated treatment according to their QoS demands. We demonstrate that this admission control scheme can not only improve the resource utilization but also guarantee the flows' QoS. Furthermore, the admission control is divided into two phases: edge admission control and interior admission control. During the interior phase, the PoQ scheme is adopted, which enhances the call processing capability of
the bandwidth broker. The simulation results show that the proposed scheme can result in lower flow blocking probability and higher resource utilization. And it also reduces the number of QoS state accesses/updates, thereby increasing the overall call processing capability of the bandwidth broker.
Novel algorithm for distributed replicas management based on dynamic programming
Wang Tao, Lu Xianliang & Hou Mengshu
2006, 17(3):  669-672.  doi:10.1016/S1004-4132(06)60114-X
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Replicas can improve the data reliability in distributed system. However, the traditional algorithms for replica management are based on the assumption that all replicas have the uniform reliability, which is inaccurate in some actual systems. To address such problem, a novel algorithm is proposed based on dynamic programming to manage the number and distribution of replicas in different nodes. By using Markov model, replicas management is organized as a multi-phase process, and the recursion equations are provided. In this algorithm, the heterogeneity of nodes, the expense for maintaining replicas and the engaged space have been considered. Under these restricted conditions, this algorithm realizes high data reliability in a distributed system. The results of case analysis prove
the feasibility of the algorithm.
Error analysis on heading determination via genetic algorithms
Zhong Bing , Xu Jiangning & Ma Heng
2006, 17(3):  673-676.  doi:10.1016/S1004-4132(06)60115-1
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A new error analysis method is presented via genetic algorithms for high precise heading determination model based on two total positioning stations (TPSs). The method has the ability to search all possible solution space by the genetic operators of elitist model and restrictioa The result of analyzing the error of this model shows that the accuracy of this model is precise enough to meet the need of calibration for navigation systems on ship, and the search space is only 0. 03% of the total search space, and the precision of heading determination is 4" in a general dock.
On use of the alpha stable self-similar stochastic process to model aggregated VBR video traffic
Huang Tianyun
2006, 17(3):  677-684.  doi:10.1016/S1004-4132(06)60116-3
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The alpha stable self-similar stochastic process has been proved an effective model for high variable data traffic. A deep insight into some special issues and considerations on use of the process to model aggregated VBR video traffic is made. Different methods to estimate stability parameter a and self-similar parameter H are compared. Processes to generate the linear fractional stable noise (LFSN) and the alpha stable random variables are provided. Model construction and the quantitative comparisons with fractional Brown motion (FBM) and real traffic are also examined. Open problems and future directions are also given with thoughtful discussions.
Internet end-to-end delay dynamics
Zhu Changhua, Pei Changxing, Li Jiandong, Chen Nan & Yi Yunhui
2006, 17(3):  685-691.  doi:10.1016/S1004-4132(06)60117-5
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End-to-end delay is one of the most important characteristics of Internet end-to-end packet dynamics, which can be applied to quality of services (QoS) management, service level agreement (SLA) management, congestion control algorithm development, etc. Nonstationarity and nonlinearity are found by the analysis of various delay series measured from different links. The fact that different types of links have different degree of Self-Similarity is also obtained. By constructing appropriate network architecture and neural functions, functional networks can be used to model the Internet end-to-end nonlinear delay time series. Furthermore, by using adaptive parameter studying algorithm, the nonstationarity can also be well modeled. The numerical results show that the provided
functional network architecture and adaptive algorithm can precisely characterize the Internet end-to-end delay dynamics.
Distributed QoS multicast routing protocol in ad hoc networks
Sun Baolin & Li Layuan
2006, 17(3):  692-698.  doi:10.1016/S1004-4132(06)60118-7
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Quality of service (QoS) routing and multicasting protocols in ad hoc networks are face with the challenge
of delivering data to destinations through multihop routes in the presence of node movements and topology changes.
The multicast routing problem with multiple QoS constraints is discussed, which may deal with the delay, bandwidth and cost metrics, and describes a network model for researching the ad hoc networks QoS multicast routing
problem. It presents a distributed QoS multicast routing protocol (DQMRP). The proof of correctness and complexity analysis of the DQMRP are also givea Simulation results show that the multicast tree optimized by DQM-
RP is better than other protocols and is fitter for the network situations with frequently changed status and the real
time multimedia applicatioa It is an available approach to multicast routing decision with multiple QoS constraints.
Performance study on Gossip-based group key distribution protocal
Yao Yan , Ma Jianqing, Zhong Yiping & Zhang Shiyong
2006, 17(3):  699-705.  doi:10.1016/S1004-4132(06)60119-9
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Group key distribution is faced with two important problems, i. e. reliability and scalability, to support security multicast for large and dynamic groups. With group member increasing, traditional reliable multicast protocol can not deal with them fully. Gossip-based group key distribution idea for wide-area dissemination was provided. It is based on an gossip-based loss recovery control mechanism. It can provide a probabilistic reliable guarantee for a information dissemination to reach every group member, which can achieve scalability and reliability. To achieve full reliability, three layers protocol model in group key distribution was provided. One is best effect layer,
which provides unreliable dissemination. Other is gossip-based loss recovery layer, which provides probabilistic reliable guarantee. Last is vsync-based layer, which provide deterministic loss recovery. We integrate probabilistic loss recovery method with deterministic one. The model possess scalability that probabilistic method has and full reliability prosthesis by vsync-based. To evaluate the effectiveness of gossip technique in scalable and reliable multicast protocols. We have compared gossip protocol with other reliable multicast protocols. Experimental result shows that gossip protocol has better scalability than other.