Adaptive preview consensus control for discrete-time nonlinear multi-agent systems with unknown control directions.

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Bibliographic Details
Title: Adaptive preview consensus control for discrete-time nonlinear multi-agent systems with unknown control directions.
Authors: Ren, Chang-E1,2 (AUTHOR) dtlrce@gmail.com, Chen, CL Philip3 (AUTHOR)
Source: Transactions of the Institute of Measurement & Control. Nov2020, Vol. 42 Issue 15, p2941-2950. 10p.
Subjects: Multiagent systems, Adaptive fuzzy control, Nonlinear systems, Fuzzy logic, Fuzzy systems, Nonlinear equations
Abstract: In this paper, the leader-following consensus control problem of discrete-time nonlinear multi-agent systems with unknown control directions is discussed. The preview future information of the leader is utilized when the distributed controllers are designed. Fuzzy logic system is directly introduced to approximate the uncertainty and unknown control directions and the adaptive distributed controller with preview information is put forward. The designed controller can drive all the states of followers to converge to a small neighbourhood of the leader's state. In addition, all the states of followers remain bounded. Finally, the results of simulations can display the effectiveness of the presented algorithms. [ABSTRACT FROM AUTHOR]
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Database: Engineering Source
Description
Abstract:In this paper, the leader-following consensus control problem of discrete-time nonlinear multi-agent systems with unknown control directions is discussed. The preview future information of the leader is utilized when the distributed controllers are designed. Fuzzy logic system is directly introduced to approximate the uncertainty and unknown control directions and the adaptive distributed controller with preview information is put forward. The designed controller can drive all the states of followers to converge to a small neighbourhood of the leader's state. In addition, all the states of followers remain bounded. Finally, the results of simulations can display the effectiveness of the presented algorithms. [ABSTRACT FROM AUTHOR]
ISSN:01423312
DOI:10.1177/0142331220933773