Abstract
Considering the problem that does all the information have the same effect on the control performance of multi-agent system, this paper analyzes the influence of leader state on closed loop dynamics of formation theoretically. For the first time, it is proved that the leader information can mask out the effect of others and the closed loop dynamics of formation is equivalent to the leader follower topology if all followers can receive the leader information and others. Based on this new foundation, an estimator for leader state is designed using the sliding mode control theory. This estimator is independent of the dynamical functions of agents and only the minimum eigenvalue of topological matrix is required to ensure the convergence of estimation error even when leader runs dynamically. Several simulations have been conducted to further validate the correctness of this new theoretical foundation and the effectiveness of the estimator based formation control strategy.
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Recommended by Associate Editor Xiaojie Su under the direction of Editor Guang-Hong Yang.
This study is supported by Scientific Technological Plans of Chongqing under grant cstc2019jcyj-zdxmX0018 and Open fund of State Key Laboratory of Vehicle NVH and Safety Technology under grant NVHSKL-201705.
Bo He received his M.S. degree in Control Engineering from Chongqing University of Posts and Telecommunications in 2015. From 2009 to 2014, he was engaged in Development and Matching of Control Logic for Engine Control System, and responsible for the matching of the first turbocharged engine and electronic thermostat (D18T) of Chang’an Automobile, the matching of the first phase sensor cancelled phase sensor engine (EA12) of Chang’an Automobile, etc. His current research interests include testing, validation, matching and evaluation of intelligent driving system (Advanced Driving Assistance and L3/L4 Auto-Driving).
Feng Gao received his M.S. and Ph.D. degrees from Tsinghua University, in 2003 and 2007, respectively. From 2007 to 2013, he was a Senior Engineer with the Chang’an Auto Global Research and Development Centre, where he has led several projects involving electromagnetic compatibility, durability test of electronic module, ADAS, and engine control. He is currently a Professor with the School of Automotive Engineering, Chongqing University. He is the author of over 80 peerreviewed journal and conference papers, and the co-inventor of over 20 patents in China. His current research interests include robust control and optimization approach with application to automotive systems. Prof. Gao was the recipient of Best Award of Automatic Driving Technology of International Intelligent Industry Expo. (2018), Technical Progress Award of Automotive Industry (2017, 2018), Special Application Award of NI Graphical System Design (2015) and Best Paper Award of Chongqing Electric Motor Society (2016).
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He, B., Gao, F. Influence Analysis of Leader Information with Application to Formation Control of Multi-agent Systems. Int. J. Control Autom. Syst. 18, 3062–3072 (2020). https://doi.org/10.1007/s12555-019-0361-5
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DOI: https://doi.org/10.1007/s12555-019-0361-5