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  • Data-driven Subspace-based Distributed Control and Its Algorithmic Convergence

    Author(s)
    Chen, Jianmin
    Zhu, Jun
    Qiu, Quanwei
    Yang, Fuwen
    Han, Qing-Long
    Vlacic, Ljubo
    Lu, Junwei
    Griffith University Author(s)
    Vlacic, Ljubo
    Lu, Junwei
    Han, Qing-Long
    Yang, Fuwen
    Qiu, Quanwei
    Year published
    2015
    Metadata
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    Abstract
    This paper proposed a new data-driven subspace-based distributed control strategy based on Nash optimality. The distributed controller of each subsystem exchange the input-output information with other subsystems by networks. Communication among the controllers is helped to make each controller work in coordination with the others. In this way, the control performance of each subsystem is improved by considering the interactions among subsystems. An iteration algorithm is utilized to achieve the Nash equilibrium. The computational convergence of the algorithm is discussed. Simulations on a radial distribution power system ...
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    This paper proposed a new data-driven subspace-based distributed control strategy based on Nash optimality. The distributed controller of each subsystem exchange the input-output information with other subsystems by networks. Communication among the controllers is helped to make each controller work in coordination with the others. In this way, the control performance of each subsystem is improved by considering the interactions among subsystems. An iteration algorithm is utilized to achieve the Nash equilibrium. The computational convergence of the algorithm is discussed. Simulations on a radial distribution power system network would provided to verify the validness of the proposed control strategy.
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    Conference Title
    2015 5TH AUSTRALIAN CONTROL CONFERENCE (AUCC)
    Publisher URI
    http://ieeexplore.ieee.org/abstract/document/7361937/
    Subject
    Control Systems, Robotics and Automation
    Publication URI
    http://hdl.handle.net/10072/125420
    Collection
    • Conference outputs

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