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System Identification with Quantized Observations

Publisher: 
Birkhäuser
Number of Pages: 
317
Price: 
124.00
ISBN: 
9780817649555
Date Received: 
Monday, July 5, 2010
Reviewable: 
No
Include In BLL Rating: 
No
Reviewer Email Address: 
Le Yi Wang, G. George Yin, Ji-Feng Zhang, and Yanlong Zhao
Series: 
Systems & Control: Foundations & Applications
Publication Date: 
2010
Format: 
Hardcover
Category: 
Monograph

Preface. Conventions. Glossary of Symbols.- Part I. Overview. Introduction. System Settings.- Part II. Stochastic Methods for Linear Systems.- Empirical-Measure-Based Identification.- Estimation Error Bounds: Including Unmodeled Dynamics.- Rational Systems.- Quantized Identification and Asymptotic Efficiency.- Input Design for Identification in Connected Systems.- Identification of Sensor Thresholds and Noise Distribution Functions.- Part III. Deterministic Methods for Linear Systems.- Worst-Case Identification.- Worst-Case Identification Using Quantized Observations.- Part IV. Identification of Nonlinear and Switching Systems.- Identification of Wiener Systems.- Identification of Hammerstein Systems.- Systems with Markovian Parameters.- Part V. Complexity Analysis.- Complexities, Threshold Selection, Adaptation.- Impact of Communication Channels.- Appendix. Background Materials.- References.- Index.

Publish Book: 
Modify Date: 
Monday, July 5, 2010

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