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Adaptive tracking control for switched systems based on an average dwell-time method

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  • Caiyun Wu
  • Jun Zhao

Abstract

This paper investigates the H∞ state tracking model reference adaptive control (MRAC) problem for a class of switched systems using an average dwell-time method. First, a stability criterion is established for a switched reference model. Then, an adaptive controller is designed and the state tracking control problem is converted into the stability analysis. The global practical stability of the error switched system can be guaranteed under a class of switching signals characterised by an average dwell time. Consequently, sufficient conditions for the solvability of the H∞ state tracking MRAC problem are derived. An example of highly manoeuvrable aircraft technology vehicle is given to demonstrate the feasibility and effectiveness of the proposed design method.

Suggested Citation

  • Caiyun Wu & Jun Zhao, 2015. "Adaptive tracking control for switched systems based on an average dwell-time method," International Journal of Systems Science, Taylor & Francis Journals, vol. 46(14), pages 2547-2559, October.
    • Handle: RePEc:taf:tsysxx:v:46:y:2015:i:14:p:2547-2559
    DOI: 10.1080/00207721.2013.871371
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    Cited by:

    1. Sader, Malika & Chen, Zengqiang & Liu, Zhongxin & Deng, Chao, 2021. "Distributed robust fault-tolerant consensus control for a class of nonlinear multi-agent systems with intermittent communications," Applied Mathematics and Computation, Elsevier, vol. 403(C).
    2. Hou, Linlin & Li, Yao & Luo, Wende & Sun, Haibin, 2022. "Adaptive tracking control of switched cyber-physical systems with cyberattacks," Applied Mathematics and Computation, Elsevier, vol. 415(C).

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