System Identification with Quantized Observations

• Main Authors: Wang, Le Yi. (Author), Yin, G. George. (Author), Zhang, Ji-Feng. (Author), Zhao, Yanlong. (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic
• Language: English
• Published: Boston : Birkhũser Boston, 2010.
• Series: Systems & Control: Foundations & Applications
• Subjects: Mathematics.; Systems theory.; Algorithms.; Distribution (Probability theory).; Telecommunication.; Systems Theory, Control.; Control.; Communications Engineering, Networks.; Probability Theory and Stochastic Processes.; Signal, Image and Speech Processing.
• Online Access: https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-0-8176-4956-2

This book presents recently developed methodologies that utilize quantized information in system identification and explores their potential in extending control capabilities for systems with limited sensor information or networked systems. The results of these methodologies can be applied to signal...

Table of Contents:

• 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.