NDLI: Formation iterative learning control for multi-agent systems with higher-order dynamics

Content Provider	IEEE Xplore Digital Library
Author	Deyuan Meng Yingmin Jia Junping Du Fashan Yu
Copyright Year	2012
Description	Author affiliation: School of Computer Science and Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China (Junping Du) \|\| School of Electrical Engineering and Automation, Henan Polytechnic University, Jiaozuo 454000, Henan, China (Fashan Yu) \|\| The Seventh Research Division, Beihang University (BUAA), Beijing 100191, China (Deyuan Meng; Yingmin Jia)
Abstract	This paper is devoted to solving formation problems of multi-agent systems with higher-order dynamics. By using the iterative learning control (ILC) approaches, effective distributed algorithms are developed to enable all agents in directed graphs to achieve the desired relative formations perfectly over a finite-time interval. It is shown that the graph theory can be combined to develop conditions for both asymptotic stability and monotonic convergence of multi-agent formation ILC. Simulation results are finally given to verify our theoretical study.
Starting Page	474
Ending Page	479
File Size	134946
Page Count	6
File Format	PDF
ISBN	9781467318716
e-ISBN	9781467318723
e-ISBN	9781467318709
DOI	10.1109/ICARCV.2012.6485205
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-12-05
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Eigenvalues and eigenfunctions Multi-agent systems Convergence Asymptotic stability Linear matrix inequalities Educational institutions Algorithm design and analysis
Content Type	Text
Resource Type	Article

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