Affiliation:
1. School of Science, Lanzhou University of Technology, Lanzhou 730050, China
Abstract
This paper investigates a distributed coordination control for a class of high-order uncertain multiagent systems. Under the framework of iterative learning control, a novel fully distributed learning protocol is devised for the coordination problem of MASs including time-varying parameter uncertainties as well as actuator saturations. Meanwhile, the learning updating laws of various parameters are proposed. Utilizing Lyapunov theory and combining with Graph theory, the proposed algorithm can make each follower track a leader completely over a limited time interval even though each follower is without knowing the dynamics of the leader. Moreover, the extension to formation control is made. The validity and feasibility of the algorithm are verified conclusively by two examples.
Funder
nnovation Fund Project of Gansu Provincial Department of Education
Subject
Multidisciplinary,General Computer Science
Cited by
3 articles.
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