Journal of Systems Engineering and Electronics ›› 2018, Vol. 29 ›› Issue (2): 286-295.doi: 10.21629/JSEE.2018.02.09

• Systems Engineering • Previous Articles     Next Articles

Design method of organizational structure for MAVs and UAVs heterogeneous team with adjustable autonomy

Jun CHEN1,*(), Xunjie QIU1(), Jia RONG2(), Xiaoguang GAO1()   

  1. 1 School of Electronics and Information, Northwestern Polytechnical University, Xi'an 710072, China
    2 Centre of Applied Informatics, College of Engineering and Science, Victoria University, Melbourne VIC 8001, Australia
  • Received:2017-04-06 Online:2018-04-26 Published:2018-04-27
  • Contact: Jun CHEN;;;
  • About author:CHEN Jun was born in 1979. He is an associate professor at School of Electronics and Information, Northwestern Polytechnical University. He received his Ph.D. degree from Northwestern Polytechnical University in 2009. His research interests include supervisory control and cooperative decision-making for heterogeneous multi-aircraft team, modern fire control theory, and complex system modeling. E-mail:|QIU Xunjie was born in 1992. He is a graduate student in control engineering at Northwestern Polytechnical University. His main research interests are fuzzy cognitive map theory and its application in control and decision making. E-mail:|RONG Jia was born in 1981. She is a lecturer at College of Engineering and Science, Victoria University, Melbourne, AUS. She received her Ph.D. degree from Deakin University in 2012. Her current research interests are data mining, pattern recognition, and complex data analysis. E-mail:|GAO Xiaoguang was born in 1957. Now she is a professor and Ph. D. advisor. Her research interests include modeling and simulation about complex integration system and efficiency analysis on aviation weapon system. E-mail:
  • Supported by:
    the National Natural Science Foundation of China(61305133);the Aeronautical Science Foundation of China(2016ZC53020);the Fundamental Research Funds for the Central Universities(3102017jg02015);This work was supported by the National Natural Science Foundation of China (61305133), the Aeronautical Science Foundation of China (2016ZC53020) and the Fundamental Research Funds for the Central Universities (3102017jg02015)


The increasingly complex battlefield environment requests much closer connection in a team having both manned and unmanned aerial vehicles (MAVs and UAVs). This special heterogeneous team structure causes demands for effective organizational structure design solutions. Implementing adjustable autonomy in the organizational structure, the expected evaluation function is established based on the physical resource, intelligent resource, network efficiency, network vulnerability and task execution reliability. According to the above constraints, together with interaction latency, decision-making information processing capacity, and decision-making latency, we aim to find a preferential organizational structure. The proposed organizational structure includes cooperative relationships, supervisory control relationships, and decision-making authorization relationships. In addition, by considering the influence on the intelligent support capabilities and the task execution reliability created by adjustable autonomy, it helps to build the proposed organizational structure designed with certain degree of flexibility to deal with the potential changes in the unpredictable battlefield environment. Simulation is conducted to confirm our design to be valid. And the method is still valid under different battlefield environments and interventions.

Key words: organizational structure, cooperative relationship, supervisory control relationship, decision-making authorization relationship, adjustable autonomy