JOURNAL ARTICLE

Observer-Based Adaptive Fault-Tolerant Consensus Tracking of Multi-Agent Systems

Abstract

This paper addresses the issue of adaptive fault-tolerant leader-follower consensus tracking (AFTLFCT) for multi-agent systems encountered with actuator fault and and external influence. For the follower agent, a distributed AFTLFCT protocol is proposed which consists of the neighbor observer and fault measurements. Sufficient criteria for AFTLFCT is derived for the systems under consideration, where Lyapunov stability functions and algebraic Ricatti equations are adopted. Finally, the simulation results is presented to illustrate the validity of the protocol design.

Keywords:
Control theory (sociology) Fault tolerance Actuator Observer (physics) Multi-agent system Computer science Tracking (education) Lyapunov stability Consensus Lyapunov function Protocol (science) Algebraic Riccati equation Controller (irrigation) Stability (learning theory) Control engineering Riccati equation Distributed computing Engineering Mathematics Control (management) Artificial intelligence Nonlinear system Differential equation Machine learning

Metrics

3
Cited By
0.19
FWCI (Field Weighted Citation Impact)
26
Refs
0.50
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

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
Adaptive Control of Nonlinear Systems
Physical Sciences →  Engineering →  Control and Systems Engineering

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