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New distributed adaptive protocols for uncertain nonlinear leader-follower multi-agent systems via a repetitive learning control approach
Yang, Nana1,2; Li, Junmin1
刊名JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
2019-08
卷号356期号:12页码:6571-6590
关键词Adaptive control systems Distributed parameter control systems Graph theory Learning algorithms Learning systems Lyapunov functions Nonlinear control systems Time varying control systems Algebraic graph theory Distributed consensus Distributed protocols Lyapunov-Krasovskii functionals Parameter uncertainty Repetitive learning control Simulation example Time varying coupling
ISSN号0016-0032
DOI10.1016/j.jfranklin.2019.01.052
英文摘要In this paper, the distributed consensus problem of leader-follower multi-agent systems with unknown time-varying coupling gains and parameter uncertainties are investigated, and the fully distributed protocols with the adaptive updating laws of periodic time-varying parameters are designed by using a repetitive learning control approach. By virtue of algebraic graph theory, Barbalat's lemma and an appropriate Lyapunov-Krasovskii functional, it is shown that each follower agent can asymptotically track the leader even though the dynamic of the leader is unknown to any of them, i.e., the global asymptotic consensus can be achieved. At last, a simulation example is given to illustrate the feasibility and efficiency of the proposed protocols. (C) 2019 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
资助项目National Natural Science Foundation of China[61573013]
WOS研究方向Automation & Control Systems ; Engineering ; Mathematics
语种英语
出版者PERGAMON-ELSEVIER SCIENCE LTD
WOS记录号WOS:000476898900033
状态已发表
内容类型期刊论文
源URL[http://119.78.100.223/handle/2XXMBERH/31665]  
专题理学院
通讯作者Li, Junmin
作者单位1.Xidian Univ, Sch Math & Stat, Xian 710071, Shaanxi, Peoples R China
2.Lanzhou Univ Technol, Sch Sci, Lanzhou 730050, Gansu, Peoples R China
推荐引用方式
GB/T 7714
Yang, Nana,Li, Junmin. New distributed adaptive protocols for uncertain nonlinear leader-follower multi-agent systems via a repetitive learning control approach[J]. JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS,2019,356(12):6571-6590.
APA Yang, Nana,&Li, Junmin.(2019).New distributed adaptive protocols for uncertain nonlinear leader-follower multi-agent systems via a repetitive learning control approach.JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS,356(12),6571-6590.
MLA Yang, Nana,et al."New distributed adaptive protocols for uncertain nonlinear leader-follower multi-agent systems via a repetitive learning control approach".JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS 356.12(2019):6571-6590.
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