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Systems with Markovian Parameters

  • Le Yi Wang
  • G. George Yin
  • Ji-Feng Zhang
  • Yanlong Zhao
Chapter
Part of the Systems & Control: Foundations & Applications book series (SCFA)

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.

Keywords

Markov Chain Error Bound Empirical Measure Mobile Sensor Brownian Bridge 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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  1. [120]
    G. Yin, L.Y. Wang, and S. Kan, Tracking and identification of regime-switching systems using binary sensors, Automatica, 45 (2009), 944–955.MATHCrossRefMathSciNetGoogle Scholar
  2. [123]
    G. Yin and C. Zhu, Hybrid Switching Diffusions: Properties and Applications, Springer, New York, 2010.MATHCrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC 2010

Authors and Affiliations

  • Le Yi Wang
    • 1
  • G. George Yin
    • 2
  • Ji-Feng Zhang
    • 3
  • Yanlong Zhao
    • 3
  1. 1.Department of Electrical and Computer EngineeringWayne State UniversityDetroitUSA
  2. 2.Department of MathematicsWayne State UniversityDetroitUSA
  3. 3.Key Laboratory of Systems and Control, Academy of Mathematics and Systems ScienceChinese Academy of SciencesBeijingChina

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