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Input Design for Identification in Connected Systems

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System Identification with Quantized Observations

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

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Abstract

Input design is of essential importance in system identification to provide sufficient probing capabilities to guarantee the convergence of parameter estimators to their true values; namely, the estimators are consistent. Input conditions for consistent estimation depend on sensor characteristics, system configurations, noise locations and distributions, and identification algorithms. The previous chapters consider only the basic formulation in which the input u k can be directly designed. This chapter covers input design in more general system configurations.

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  1. L.Y. Wang, G. Yin, J.F. Zhang, and Y.L. Zhao, Space and time complexities and sensor threshold selection in quantized identification, Automatica, 44 (2008), 3014–3024.

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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). Input Design for Identification in Connected Systems. In: System Identification with Quantized Observations. Systems & Control: Foundations & Applications. Birkhäuser Boston. https://doi.org/10.1007/978-0-8176-4956-2_7

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