Fuzzy adaptive event-triggered distributed control for a class of nonlinear multi-agent systems-Reference-Cited by-同舟云学术

Fuzzy adaptive event-triggered distributed control for a class of nonlinear multi-agent systems

Published:2023 Issue:1 Volume:21 Page:474-493
ISSN:1551-0018
Container-title:Mathematical Biosciences and Engineering
language:
Short-container-title:MBE

Author:

Li Siyu¹,Li Shu²,Liu Lei¹

Affiliation:

1. College of Science, Liaoning University of Technology, Jinzhou 121001, China

2. College of Electrical Engineering, Liaoning University of Technology, Jinzhou 121001, China

Abstract

<abstract><p>In this work, we examine an adaptive and event-triggered distributed controller for nonlinear multi-agent systems (MASs). Second, we present a fuzzy adaptive event-triggered distributed control approach using a Lyapunov-based filter and the backstepping recursion technique. Next, the controller and adaptive rule presented guarantee that all tracking errors between the leader and the follower converge in a limited area close to the origin. According to the Lyapunov stability theory, this demonstrates that all other signals inside the closed loop are assured to be semi-globally, uniformly and finally constrained. Finally, simulation tests are conducted to illustrate the effectiveness of the control mechanism.</p></abstract>

Publisher

American Institute of Mathematical Sciences (AIMS)

Subject

Applied Mathematics,Computational Mathematics,General Agricultural and Biological Sciences,Modeling and Simulation,General Medicine

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