Observer-Based Fault-Tolerant Finite-Time Control of Nonlinear Multiagent Systems

被引：14

作者：

Salmanpour, Yasaman ^{[1
]}

Arefi, Mohammad Mehdi ^{[1
]}

Khayatian, Alireza ^{[1
]}

Yin, Shen ^{[2
]}

机构：

[1] Shiraz Univ, Sch Elect & Comp Engn, Dept Power & Control Engn, Shiraz 7196484334, Iran

[2] Norwegian Univ Sci & Technol, Fac Engn, Dept Mech & Ind Engn, N-7033 Trondheim, Norway

来源：

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS | 2024年 / 35卷 / 10期

关键词：

Event-triggered control (ETC); fault-tolerant control (FTC); finite-time output constraint; nonlinear multiagent systems (MASs); observer-based containment control (CC); LEADER-FOLLOWING CONSENSUS; CONTAINMENT CONTROL; COMPENSATION; NETWORKS;

D O I：

10.1109/TNNLS.2023.3279890

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this article, an adaptive neural containment control for a class of nonlinear multiagent systems considering actuator faults is introduced. By using the general approximation property of neural networks, a neuro-adaptive observer is designed to estimate unmeasured states. In addition, in order to reduce the computational burden, a novel event-triggered control law is designed. Furthermore, the finite-time performance function is presented to improve the transient and steady-state performance of the synchronization error. Utilizing the Lyapunov stability theory, it will be shown that the closed-loop system is cooperatively semiglobally uniformly ultimately bounded (CSGUUB), and the followers' outputs reach the convex hull constructed by the leaders. Moreover, it is shown that the containment errors are limited to the prescribed level in a finite time. Eventually, a simulation example is presented to corroborate the capability of the proposed scheme.

引用

页码：14534 / 14543

页数：10

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