Adaptive consensus control for a class of nonlinear multi-agent systems with unknown time delays and external disturbances. (June 2022)

• Record Type: Journal Article
• Authors: Liu, Shaoning; Feng, Jian; Wang, Qiangde; Song, Weizhao
• Is Part Of: Transactions of the Institute of Measurement and Control. Volume 44:Number 10(2022)
• Page Start: 2063
• Page End: 2075
• Publication Date: 2022-06
• Subjects: Consensus control -- nonlinear systems -- multi-agent systems -- time delay -- external disturbance; Automatic control -- Periodicals; Measuring instruments -- Periodicals; Commande automatique -- Périodiques; Mesure -- Instruments -- Périodiques; 681.2
• DOI: 10.1177/01423312211070649
• Languages: English
• ISSNs: 0142-3312

Abstract

This paper investigates a class of unknown nonlinear multi-agent systems with unknown time delays and external disturbances. The external disturbance considered in this paper is completely unknown, and the accurate mathematical expression cannot be obtained. To eliminate the external disturbance, a disturbance observer is constructed by the Disturbance-Observer-Based-Control (DOBC) method. By utilizing Young's inequality scaling technique, the problem of time delay is solved. By assuming that the communication graph among the agents is directed and connected, a novel distributed adaptive consensus control protocol is established based on the relative output information to achieve the goal of consensus control. Furthermore, the stability of the multi-agent system is analyzed by selecting an appropriate Lyapunov function; it is certified that with the proposed control protocol, all signals are guaranteed to be globally uniformly bounded, and the considered multi-agent systems can reach consensus even in the presence of time delay and external disturbance. Finally, two simulation examples are given to support the proposed control strategy.