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Observer design for a class of multi-input multi-output nonlinear systems

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  • Yali Dong
  • Yingjuan Yang

Abstract

In this article, the problem of state observer design for a class of multi-input multi-output nonlinear systems is considered. Via state transformation and the constructive use of a Lyapunov function, the new observer design approach is addressed by introducing a parameter ϵ in the observer. Some sufficient conditions are given which guarantee the estimation error to asymptotically converge to zero under adaptive conditions. An example is included to illustrate the method.

Suggested Citation

  • Yali Dong & Yingjuan Yang, 2011. "Observer design for a class of multi-input multi-output nonlinear systems," International Journal of Systems Science, Taylor & Francis Journals, vol. 42(4), pages 695-703.
    • Handle: RePEc:taf:tsysxx:v:42:y:2011:i:4:p:695-703
    DOI: 10.1080/00207720903260143
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    Cited by:

    1. Guanglei Zhao & Changchun Hua, 2017. "Continuous–discrete-time adaptive observers for nonlinear systems with sampled output measurements," International Journal of Systems Science, Taylor & Francis Journals, vol. 48(12), pages 2599-2609, September.

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