Optimal disturbance rejection controllers design for synchronised output regulation of time‐delayed multi‐agent systems. Issue 7 (8th February 2017)

• Record Type: Journal Article
• Authors: Ye, Fei; Zhang, Weidong; Ou, Linlin; Zhang, Guoqing
• Is Part Of: IET control theory & applications. Volume 11:Issue 7(2017)
• Page Start: 1053
• Page End: 1062
• Publication Date: 2017-02-08
• Subjects: multi‐agent systems -- delay systems -- decentralised control -- optimal control -- synchronisation -- control system synthesis -- H2 control -- distributed control -- robust control -- transfer functions; disturbance attenuation capacity -- algebraic solution -- distributed H2 controllers -- single tuning parameter adjustment -- robustness -- system stabilisation -- balancing output‐input load disturbance rejection controllers -- unified framework -- transfer functions -- block diagram -- linear MAS -- time‐delayed MAS -- optimal disturbance rejection controller design method -- time‐delayed multiagent systems -- synchronised output regulation; Control theory -- Periodicals; Automatic control -- Periodicals; 629.8312
• DOI: 10.1049/iet-cta.2016.1528
• Languages: English
• ISSNs: 1751-8644

Abstract

Abstract : An optimal disturbance rejection controller design method is put forward analytically for the synchronised output regulation of time‐delayed multi‐agent systems (MAS). All kinds of linear MAS can be described by a novel block diagram based on transfer functions in a unified framework. For each subsystem without intercommunication, the optimal output, input and balancing output–input load disturbance rejection controllers are designed independently. A filter is used to be in series with each controller to not only stabilise the whole systems but also achieve a tradeoff between nominal performance and robustness by adjusting a single tuning parameter. The proposed distributed H 2 controllers calculated by algebraic solution perform better capacity of disturbance attenuation than the conventional given‐structured protocols. Two simulation examples demonstrate the validity of the new algorithm.