System identification with quantized observations / Le Yi Wang [and others].
"This book concerns the identi?cation of systems in which only quantized output observations are available, due to sensor limitations, signal quan- zation, or coding for communications. Although there are many excellent treaties in system identi?cation and its related subject areas, a syst- ati...
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| Main Author: | |
|---|---|
| Format: | Ebook |
| Language: | English |
| Published: |
Boston :
Birkhäuser,
[2010]
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| Series: | Systems & control.
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| Subjects: | |
| Online Access: | Springer eBooks |
Table of Contents:
- Overview:
- Introduction
- 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.