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Systems with Markovian Parameters

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System Identification with Quantized Observations

Part of the book series: Systems & Control: Foundations & Applications ((SCFA))

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Abstract

This chapter concerns the identification of systems with time-varying parameters. The parameters are vector-valued and take values in a finite set. As in the previous chapters, only binary-valued observations are available.

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  1. G. Yin, L.Y. Wang, and S. Kan, Tracking and identification of regime-switching systems using binary sensors, Automatica, 45 (2009), 944–955.

    Article  MATH  MathSciNet  Google Scholar 

  2. G. Yin and C. Zhu, Hybrid Switching Diffusions: Properties and Applications, Springer, New York, 2010.

    Book  MATH  Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Electrical and Computer Engineering, Wayne State University, Detroit, MI, 48202, USA

    Le Yi Wang

  2. Department of Mathematics, Wayne State University, Detroit, MI, 48202, USA

    G. George Yin

  3. Key Laboratory of Systems and Control, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, 100190, China

    Ji-Feng Zhang & Yanlong Zhao

Authors
  1. Le Yi Wang
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  2. G. George Yin
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  3. Ji-Feng Zhang
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  4. Yanlong Zhao
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Corresponding author

Correspondence to Le Yi Wang .

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Wang, L.Y., Yin, G.G., Zhang, JF., Zhao, Y. (2010). Systems with Markovian Parameters. In: System Identification with Quantized Observations. Systems & Control: Foundations & Applications. Birkhäuser Boston. https://doi.org/10.1007/978-0-8176-4956-2_13

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