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Guaranteed Performance Event-Triggered Adaptive Consensus Control for Multiagent Systems under Time-Varying Actuator Faults

Authors :
Kairui Chen
Yixiang Gu
Hai Lin
Zhonglin Zhang
Xiaoyang Zhou
Xiaodong Wang
Source :
Mathematics, Vol 12, Iss 10, p 1528 (2024)
Publication Year :
2024
Publisher :
MDPI AG, 2024.

Abstract

A guaranteed performance event-triggered adaptive consensus control is established for uncertain multiagent systems under time-varying actuator faults. To eliminate the impact caused by actuator faults, an adaptive neural network compensation strategy is developed. Simultaneously, by implementing the asymmetric barrier Lyapunov function and transform function, a prescribed time consensus control with guaranteed performance, is constructed. Furthermore, to reduce the frequency of information transmission, an adjustable switching event-triggered control (ASETC) is proposed by using a modified hyperbolic tangent function. It combines the advantage of the relative threshold strategies and the characteristics of the hyperbolic tangent function, giving better flexibility in saving network resources and guaranteeing system performance. By applying the constructed control method, systems with prescribed performance consensus in a prescribed time are achievable while limited network resources and unknown time-varying faults are present. Some simulation examples implemented in MATLAB (R2022a) are given to demonstrate the above results.

Details

Language :
English
ISSN :
22277390
Volume :
12
Issue :
10
Database :
Directory of Open Access Journals
Journal :
Mathematics
Publication Type :
Academic Journal
Accession number :
edsdoj.24979da2b39a4149a6112c2333306c61
Document Type :
article
Full Text :
https://doi.org/10.3390/math12101528