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Leader-following consensus of parameter-dependent networks via distributed gain-scheduling control

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  • Chengzhi Yuan

Abstract

This paper addresses the problem of leader-following consensus control of multi-agent systems subject to time-varying parameters and local, external disturbances. The agent dynamics are considered to be heterogeneous and represented in the form of parameter-dependent linear fractional transformation (LFT). A novel distributed gain-scheduling control protocol is proposed, which consists of a distributed observer and a gain-scheduling LFT output-feedback controller. No plant state/output information but the local observer's estimation state is required to share among neighbouring agents. Under this new distributed control scheme, the overall network consensus with optimal H∞$\mathcal {H}_\infty$ disturbance attenuation performance can be achieved effectively by solving a set of independent convex optimisation problems. Simulation studies on synchronisation of multiple electrical circuit systems have been conducted to demonstrate the proposed approach.

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  • Chengzhi Yuan, 2017. "Leader-following consensus of parameter-dependent networks via distributed gain-scheduling control," International Journal of Systems Science, Taylor & Francis Journals, vol. 48(10), pages 2013-2022, July.
    • Handle: RePEc:taf:tsysxx:v:48:y:2017:i:10:p:2013-2022
    DOI: 10.1080/00207721.2017.1309597
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