Event-triggered adaptive fault-tolerant control for multi-agent systems with unknown disturbances

Hongru Ren; Shubo Li; Changxin Lu

doi:10.3934/dcdss.2020379

Article Contents

2021, Volume 14, Issue 4: 1395-1414. Doi: 10.3934/dcdss.2020379

This issue Previous Article Input-to-state stability and no-inputs stabilization of delayed feedback chaotic financial system involved in open and closed economy Next Article A Novel Lyapunov functional with application to stability analysis of neutral systems with nonlinear disturbances

Event-triggered adaptive fault-tolerant control for multi-agent systems with unknown disturbances

1.
School of Automation and Guangdong Provincial Key Laboratory of Intelligent, Decision and Cooperative Control, Guangdong University of Technology, Guangzhou 510006, China
2.
College of Engineering, Bohai University, Jinzhou 121013, China

^* Corresponding author: Shubo Li
^* Corresponding author: Shubo Li

Received: December 31, 2019

Revised: January 31, 2020

Early access: May 2020

Published: April 2021

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Abstract

This paper presents an event-triggered consensus control protocol for a class of multi-agent systems with actuator faults, sensor faults and unknown disturbances. The adaptive neural network compensation control method is introduced to solve the problem of sensor faults. The event-triggered mechanism is developed to reduce the communication burden. In the control design process, the radial basis function neural networks are used to approximate the unknown nonlinear functions, and a nonlinear disturbance observer is used to eliminate the effect of unknown external disturbances. Furthermore, based on the graph theory and Lyapunov stability theory, it is further shown that the consensus tracking errors are semi-globally uniformly ultimately bounded. Finally, the simulation example illustrates the effectiveness of the designed control protocol.

Keywords:

Mathematics Subject Classification: 93C40(93C10).

Citation:

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Figure 1. Topology of communication graph

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Figure 2. Output trajectories of followers and the leader

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Figure 3. The trajectories of tracking errors

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Figure 4. The trajectories of event-triggered controllers

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Figure 5. The trajectories of errors between disturbances and disturbance observers

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Figure 6. The trajectories of errors between disturbances and disturbance observers

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Figure 7. Triggering instants and inter-event intervals

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