• DocumentCode
    3743809
  • Title

    Quantized event-based control of nonlinear systems

  • Author

    Tengfei Liu;Zhong-Ping Jiang

  • Author_Institution
    State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, 110819, China
  • fYear
    2015
  • Firstpage
    4806
  • Lastpage
    4811
  • Abstract
    This paper studies event-based control of nonlinear systems with state quantization. It is assumed that the controlled system has a known input-to-state stabilizing control law. Two cases of the implementation of the control system are considered: sampling before quantization and quantization before sampling. The considered quantizer is assumed to have a finite number of quantization levels. By using the arguments of input-to-state stability (ISS), new event-triggering and dynamic quantization mechanisms are designed to deal with the interaction of the quantizer and the sampler. Under an ISS gain condition, it is guaranteed that infinitely fast sampling is avoided and the system state asymptotically converges to the origin.
  • Keywords
    "Quantization (signal)","Nonlinear systems","Convergence","Closed loop systems","Asymptotic stability","Linear systems"
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control (CDC), 2015 IEEE 54th Annual Conference on
  • Type

    conf

  • DOI
    10.1109/CDC.2015.7402969
  • Filename
    7402969