H∞ State-Feedback Consensus of Linear Multi-Agent Systems

This paper proposes a {{\mathcal{H}}_{\infty} } state-feedback consensus controller for linear multi-agent systems (MASs) with N number of agents. In the proposed method, the complexity of {{\mathcal{H}}_{\infty} } consensus problem of the multi-agent system is reduced by representing this problem b...

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Bibliographic Details
Published in2022 IEEE 17th International Conference on Control & Automation (ICCA) pp. 710 - 715
Main Authors Wanigasekara, Chathura, Zhang, Liruo, Swain, Akshya
Format Conference Proceeding
LanguageEnglish
Published IEEE 27.06.2022
Subjects
Control systems
Linear matrix inequalities
Numerical models
Quantization (signal)
Simulation
Stability analysis
Sufficient conditions
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Summary:This paper proposes a {{\mathcal{H}}_{\infty} } state-feedback consensus controller for linear multi-agent systems (MASs) with N number of agents. In the proposed method, the complexity of {{\mathcal{H}}_{\infty} } consensus problem of the multi-agent system is reduced by representing this problem by N number of linear subsystems. The proposed controller utilises the information of both the system and the controller state from neighbouring agents. The sufficient conditions of stability are derived using Lyapunov approach and the gains of the controller are determined using linear matrix inequalities (LMIs). The performance of the controller is illustrated through simulations using a numerical example. The results of the simulation demonstrate that the proposed {{\mathcal{H}}_{\infty} } state-feedback consensus controller could effectively achieve desired performance under the effects of external disturbances.
ISSN:1948-3457
DOI:10.1109/ICCA54724.2022.9831897