System Identification with Quantized Observations

• Κύριοι συγγραφείς: Wang, Le Yi (Συγγραφέας), Yin, G. George (Συγγραφέας), Zhang, Ji-Feng (Συγγραφέας), Zhao, Yanlong (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Boston : Birkhäuser Boston, 2010.
• Σειρά: Systems & Control: Foundations & Applications
• Θέματα: Mathematics.; System theory.; Algorithms.; Mathematical models.; Probabilities.; Control engineering.; Electrical engineering.; Systems Theory, Control.; Mathematical Modeling and Industrial Mathematics.; Control.; Communications Engineering, Networks.; Probability Theory and Stochastic Processes.

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...

Πίνακας περιεχομένων:

• Overview
• System Settings
• Stochastic Methods for Linear Systems
• Empirical-Measure-Based Identification: Binary-Valued Observations
• 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
• Deterministic Methods for Linear Systems
• Worst-Case Identification under Binary-Valued Observations
• Worst-Case Identification Using Quantized Observations
• Identification of Nonlinear and Switching Systems
• Identification of Wiener Systems with Binary-Valued Observations
• Identification of Hammerstein Systems with Quantized Observations
• Systems with Markovian Parameters
• Complexity Analysis
• Space and Time Complexities, Threshold Selection, Adaptation
• Impact of Communication Channels on System Identification.