NN event-triggered finite-time consensus control for uncertain nonlinear Multi-Agent Systems with dead-zone input and actuator failures.

Autor: Wang J; School of Mechanical and Electrical Engineering, Guangzhou University, Guangzhou 510006, China. Electronic address: jhwang@gzhu.edu.cn., Yan Y; School of Mechanical and Electrical Engineering, Guangzhou University, Guangzhou 510006, China. Electronic address: 2298604683@qq.com., Liu J; School of Mechanical and Electrical Engineering, Guangzhou University, Guangzhou 510006, China. Electronic address: 2541621998@qq.com., Philip Chen CL; School of Computer Science and Engineering, South China University of Technology, Guangzhou 510006, China. Electronic address: philip.chen@ieee.org., Liu Z; School of Automation, Guangdong University of Technology, Guangzhou 510006, China. Electronic address: lz@gdut.edu.cn., Zhang C; School of Mechanical and Electrical Engineering, Guangzhou University, Guangzhou 510006, China. Electronic address: nhzcl@163.com.
Jazyk: angličtina
Zdroj: ISA transactions [ISA Trans] 2023 Jun; Vol. 137, pp. 59-73. Date of Electronic Publication: 2023 Jan 28.
DOI: 10.1016/j.isatra.2023.01.032
Abstrakt: This paper develops a Neural Network (NN) event-triggered finite-time consensus control method for uncertain nonlinear Multi-Agent Systems (MASs) with dead-zone input and actuator failures. In practical applications, actuator failures would inevitably arise in MASs. And the time, pattern, and value of the failures are unknown. Besides, the actuators of MASs also suffer from dead-zone nonlinearity. No matter actuator failures or dead-zone input would dramatically affect the performance and stability of MASs. To address these issues, finite-time adaptive controllers capable of simultaneously compensating for actuator failures and dead-zone input are constructed by adopting the backstepping technology. Meanwhile, the NN control scheme is adopted to handle the unknown nonlinear dynamics of each agent. Furthermore, an event-triggered control mechanism is established that no longer requires continuous communication on the control network. Under the proposed control method, all followers achieve finite-time synchronization, irrespective of the presence of limited bandwidth, unknown failures, and dead-zone input. These results are demonstrated by simulations.
Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
(Copyright © 2023 ISA. Published by Elsevier Ltd. All rights reserved.)
Databáze: MEDLINE
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