JOURNAL ARTICLE

Fault-tolerant Control for Multi-agent with Actuator Fault

Abstract

This paper proposes a distributed adaptive control approach based on consensus theory so that a multi-agent formation can still complete the task despite the local fault of the leader for the multi-agent formation system. The controlled object consists of four agents that form a triangle formation system, where one agent acts as the vertex of the triangle, and the remaining agents act as followers in a line. Based on graph theory, the distributed adaptive updating of the agents' local information parameters are conducted, and the distributed adaptive control law is used to supplement the influence of the leader's fault in the multi-agent formation. According to the local information of adjacent agents, an overall distributed adaptive fault-tolerant control law is designed, and the stability of the designed controller is proved by constructing the Lyapunov function. Meanwhile, the relative distance error between the horizontal direction and longitudinal direction of the "leader-follower" converge to zero. The simulation results show that the proposed adaptive control approach has good robustness, which provides a theoretical basis for engineering practice.

Keywords:
Robustness (evolution) Multi-agent system Control theory (sociology) Fault tolerance Computer science Adaptive control Lyapunov stability Actuator Lyapunov function Vertex (graph theory) Consensus Graph theory Distributed computing Controller (irrigation) Graph Control (management) Mathematics Artificial intelligence Theoretical computer science

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FWCI (Field Weighted Citation Impact)
9
Refs
0.14
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Topics

Distributed Control Multi-Agent Systems
Physical Sciences →  Computer Science →  Computer Networks and Communications
Neural Networks Stability and Synchronization
Physical Sciences →  Computer Science →  Computer Networks and Communications
UAV Applications and Optimization
Physical Sciences →  Engineering →  Aerospace Engineering

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