Cooperative neural-adaptive fault-tolerant output regulation for heterogeneous nonlinear uncertain multiagent systems with disturbance

• Published in: Science China. Information sciences Vol. 64; no. 7; p. 172212
• Main Authors: Dong, Shanling, Chen, Guanrong, Liu, Meiqin, Wu, Zheng-Guang
• Format: Journal Article
• Language: English
• Published: Beijing Science China Press 01.07.2021; Springer Nature B.V
• Subjects: Actuator failure; Adaptive control; Closed loop systems; Closed loops; Communication; Computer Science; Control algorithms; Disturbances; Electrical engineering; Errors; Fault tolerance; Graph theory; Information Systems and Communication Service; Multiagent systems; Nonlinearity; Research Paper; Simulation; Synchronism; cooperative output regulation; matched/mismatched disturbance; distributed finite-time observer; neural-adaptive control; actuator failure
• ISSN: 1674-733X; 1869-1919
• DOI: 10.1007/s11432-020-3122-6

This paper investigates the cooperative output regulation problem for heterogeneous nonlinear uncertain multiagent networked systems subject to actuator failure, bounded matched or mismatched disturbances or disturbances produced by a given linear exosystem. Accurate information about nonlinearity, actuator failure and disturbance may be completely unknown. First, a distributed finite-time observer is designed to estimate the dynamics of the exosystem on a finite-time interval over a communication digraph. Then, a neural-adaptive control protocol is proposed. It is shown that (i) closed-loop multiagent systems are asymptotically stable, with output synchronization errors that tend to zero in the absence of mismatched disturbance, and (ii) the states of the closed-loop multiagent systems and the output synchronization errors are bounded in the presence of mismatched disturbance. Finally, a simulation example is given to demonstrate the effectiveness of the proposed control strategy.