All Stories

  1. Tracking consensus for stochastic hybrid multi-agent systemswith partly unknown transition rates via sliding mode control

    Article • IET Control Theory and Applications, January 2020, the Institution of Engineering and Technology (the IET)

    Professor Xiaowu Mu

  2. New finite-time stability conditions of linear switched singular systems with finite-time unstable subsystems

    Article • International Journal of General Systems, May 2019, Taylor & Francis

    Professor Xiaowu Mu

  3. Leader-follower multi-agent flocking with bounded missing data and random communication radius

    Article • Transactions of the Institute of Measurement and Control, October 2018, SAGE Publications

    Professor Xiaowu Mu

  4. Second-order consensus of multi-agent systems with noises via intermittent control

    Article • International Journal of Systems Science, April 2018, Taylor & Francis

    Professor Xiaowu Mu

  5. Formation-containment control of sampled-data second-order multi-agent systems with sampling delay

    Article • Transactions of the Institute of Measurement and Control, February 2018, SAGE Publications

    Professor Xiaowu Mu

  6. Sampled-Data Based Consensus of Continuous-Time Systems with Limited Data Rate

    Article • IET Control Theory and Applications, May 2017, the Institution of Engineering and Technology (the IET)

    Professor Xiaowu Mu

  7. Global regulation for a class of stochastic high-order nonlinear systems with multiple unknown control directions

    Article • International Journal of Control, May 2017, Taylor & Francis

    Professor Xiaowu Mu

  8. contaiment control of mas with markovian missing data

    Article • IET Control Theory and Applications, May 2015, the Institution of Engineering and Technology (the IET)

    Professor Xiaowu Mu

  9. L 2 – L ∞ containment control of multi-agent systems with Markovian switching topologies and non-uniform time-varying delays

    Article • IET Control Theory and Applications, July 2014, the Institution of Engineering and Technology (the IET)

    Professor Xiaowu Mu