Stochastic processes, estimation, and control / Jason L. Speyer, Walter H. Chung.
Saved in:
Edition: | 1st ed. |
---|---|
Published: |
Philadelphia :
Society for Industrial and Applied Mathematics,
c2008.
|
Online Access: | |
Main Author: | |
Other Authors: | |
Series: | Advances in design and control
DC17. |
Subjects: | |
Format: | Book |
Table of Contents:
- 1. Probability Theory
- 2. Random Variables and Stochastic Processes
- 3. Conditional Expectations and Discrete-Time Kalman Filtering
- 4. Least Squares, the Orthogonal Projection Lemma, and Discrete-Time Kalman Filtering
- 5. Stochastic Processes and Stochastic Calculus
- 6. Continuous-Time Gauss-Markov Systems: Continuous-Time Kalman Filter, Stationarity, Power Spectral Density, and the Wiener Filter
- 7. The Extended Kalman Filter
- 8. A Selection of Results from Estimation Theory
- 9. Stochastic Control and the Linear Quadratic Gaussian Control Problem
- 10. Linear Exponential Gaussian Control and Estimation.