In this paper, a consensus framework is proposed for a class of linear multiagent systems subject to matched and unmatched uncertainties in an undirected topology. A linear coordinate transformation is derived so that the consensus protocol design can be conveniently performed. The distributed consensus protocol is developed by using an integral sliding mode strategy. Consensus is achieved asymptotically and all subsystem states are bounded. By using an integral sliding mode control, the subsystems lie on the sliding surface from the initial time, which avoids any sensitivity to uncertainties during the reaching phase. By use of an appropriate projection matrix, the size of the equivalent control required to maintain sliding is reduced which reduces the conservatism of the design. MATLAB simulations validate the effectiveness and superiority of the proposed method.


    Access

    Download


    Export, share and cite



    Title :

    Consensus Control for a Class of Linear Multiagent Systems using a Distributed Integral Sliding Mode Strategy


    Contributors:
    Zhang, Y (author) / Feng, J (author) / Zhao, D (author) / Yan, X-G (author) / Spurgeon, SK (author)

    Publication date :

    2022-01-01


    Remarks:

    Journal of the Franklin Institute , 359 (2) pp. 1086-1111. (2022)


    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Classification :

    DDC:    629




    Sliding mode based robustification of consensus and distributed optimization control protocols

    Alessandro Pilloni / Mauro Franceschelli / Alessandro Pisano et al. | BASE | 2021

    Free access

    Integral sliding mode control for a class of nonlinear mismatched uncertain systems

    Qun Zong, / Zhanshan Zhao, / Liqian Dou, et al. | IEEE | 2008


    Distributed Multiagent Systems

    Mahmoud, MagdiSadek / Karaki, Bilal J. | Springer Verlag | 2022


    Deadzone Compensated Double Integral Sliding Mode Control for Distributed Converters

    Baumann, Martin / Sun, Yue / Ali, Bert Haj et al. | IEEE | 2021