Wang, Le Yi
System Identification with Quantized Observations
1. Introduction
Le Yi Wang, G. George Yin, Ji-Feng Zhang, Yanlong Zhao
2. System Settings
Le Yi Wang, G. George Yin, Ji-Feng Zhang, Yanlong Zhao
3. Empirical-Measure-Based Identification: Binary-Valued Observations
Le Yi Wang, G. George Yin, Ji-Feng Zhang, Yanlong Zhao
4. Estimation Error Bounds: Including Unmodeled Dynamics
Le Yi Wang, G. George Yin, Ji-Feng Zhang, Yanlong Zhao
5. Rational Systems
Le Yi Wang, G. George Yin, Ji-Feng Zhang, Yanlong Zhao
6. Quantized Identification and Asymptotic Efficiency
Le Yi Wang, G. George Yin, Ji-Feng Zhang, Yanlong Zhao
7. Input Design for Identification in Connected Systems
Le Yi Wang, G. George Yin, Ji-Feng Zhang, Yanlong Zhao
8. Identification of Sensor Thresholds and Noise Distribution Functions
Le Yi Wang, G. George Yin, Ji-Feng Zhang, Yanlong Zhao
9. Worst-Case Identification under Binary-Valued Observations
Le Yi Wang, G. George Yin, Ji-Feng Zhang, Yanlong Zhao
10. Worst-Case Identification Using Quantized Observations
Le Yi Wang, G. George Yin, Ji-Feng Zhang, Yanlong Zhao
11. Identification of Wiener Systems with Binary-Valued Observations
Le Yi Wang, G. George Yin, Ji-Feng Zhang, Yanlong Zhao
12. Identification of Hammerstein Systems with Quantized Observations
Le Yi Wang, G. George Yin, Ji-Feng Zhang, Yanlong Zhao
13. Systems with Markovian Parameters
Le Yi Wang, G. George Yin, Ji-Feng Zhang, Yanlong Zhao
14. Space and Time Complexities, Threshold Selection, Adaptation
Le Yi Wang, G. George Yin, Ji-Feng Zhang, Yanlong Zhao
15. Impact of Communication Channels on System Identification
Le Yi Wang, G. George Yin, Ji-Feng Zhang, Yanlong Zhao
Keywords: Mathematics, Systems Theory, Control, Control, Algorithms, Communications Engineering, Networks, Probability Theory and Stochastic Processes, Signal, Image and Speech Processing
- Author(s)
- Wang, Le Yi
- Yin, G. George
- Zhang, Ji-Feng
- Zhao, Yanlong
- Publisher
- Springer
- Publication year
- 2010
- Language
- en
- Edition
- 1
- Imprint
- Birkhäuser Boston - Boston
- Series
- Systems & Control: Foundations & Applications
- Page amount
- 18 pages
- Category
- Natural Sciences
- Format
- Ebook
- eISBN (PDF)
- 9780817649562