Low-rank Distributed Consensus Controller Design for Linear Multi-Agent Systems under Randomly Switching Directed Topologies and Model Uncertainties

Dinh Hoa Nguyen, Tatsuo Narikiyo, Michihiro Kawanishi

    Research output: Contribution to journalArticlepeer-review

    1 Citation (Scopus)

    Abstract

    This paper proposes a novel approach to design distributed consensus controllers for linear MASs subjected to fixed and randomly switching directed topologies and model uncertainties. Employing the idea of selective pole shift based on LQR method, our approach provides a systematic framework to synthesize fully distributed consensus controllers which have low rank and non-conservative coupling strengths. In addition, our approach enables to broaden the class of randomly switching topologies in which the switching component graphs need not to be balanced. Next, we show that all aforementioned remarkable features also apply to the context that dynamics of agents are heterogeneous caused by parametric multiplicative uncertainties in their models. Finally, a numerical example is presented to illustrate the effectiveness of the proposed theoretical approach.

    Original languageEnglish
    Pages (from-to)2465-2470
    Number of pages6
    JournalIFAC-PapersOnLine
    Volume50
    Issue number1
    DOIs
    Publication statusPublished - Jul 2017

    All Science Journal Classification (ASJC) codes

    • Control and Systems Engineering

    Fingerprint Dive into the research topics of 'Low-rank Distributed Consensus Controller Design for Linear Multi-Agent Systems under Randomly Switching Directed Topologies and Model Uncertainties'. Together they form a unique fingerprint.

    Cite this