Composite sliding‐mode consensus algorithms for higher‐order multi‐agent systems subject to disturbances. Issue 2 (1st January 2020)

• Record Type: Journal Article
• Authors: Wang, Xiangyu; Wang, Guodong; Li, Shihua; Lu, Kunfeng
• Is Part Of: IET control theory & applications. Volume 14:Issue 2(2020)
• Page Start: 291
• Page End: 303
• Publication Date: 2020-01-01
• Subjects: multi‐agent systems -- distributed control -- control system synthesis -- directed graphs -- multi‐robot systems -- variable structure systems -- observers -- aircraft -- autonomous aerial vehicles; altitude finite‐time consensus -- leader–follower multihypersonic vehicle systems -- composite sliding‐mode consensus algorithms -- higher‐order multiagent systems -- consensus problems -- integral sliding‐mode control -- disturbance observer techniques -- disturbed multiagent systems -- asymptotic consensus -- leader–follower case -- finite‐time composite sliding‐mode consensus protocols -- consensus control strategy; Control theory -- Periodicals; Automatic control -- Periodicals; 629.8312
• DOI: 10.1049/iet-cta.2019.0644
• Languages: English
• ISSNs: 1751-8644

Abstract

Abstract : Consensus problems for both leaderless and leader‐follower disturbed higher‐order multi‐agent systems are investigated in this study. Based on the combination of integral sliding‐mode control and disturbance observer techniques, composite sliding‐mode consensus protocols are proposed for leaderless and leader‐follower disturbed multi‐agent systems, respectively. First, for the leaderless case, composite sliding‐mode consensus protocols are designed to make the agents achieve asymptotic consensus. Second, for the leader‐follower case, finite‐time composite sliding‐mode consensus protocols are presented to make the followers achieve consensus with the leader in finite time. Then based on the consensus algorithms proposed in this study, a consensus control strategy is given to realise the velocity and altitude finite‐time consensus for a class of leader‐follower multi‐hypersonic vehicle systems. Finally, the numerical simulations are conducted to validate the efficiency of the proposed consensus algorithms.