Robust Kalman Filtering for Signals and Systems with Large Uncertainties
A significant shortcoming of the state space control theory that emerged in the 1960s was its lack of concern for the issue of robustness. However, in the design of feedback control systems, robustness is a critical issue. These facts led to great activity in the research area of robust control theo...
| Main Authors: | , |
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| Format: | eBook |
| Language: | English |
| Published: |
Boston, MA
Birkhäuser
1999, 1999
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| Edition: | 1st ed. 1999 |
| Series: | Control Engineering
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| Subjects: | |
| Online Access: | |
| Collection: | Springer Book Archives -2004 - Collection details see MPG.ReNa |
Table of Contents:
- 1 Introduction
- 2 Continuous-Time Quadratic Guaranteed Cost Filtering
- 3 Discrete-Time Quadratic Guaranteed Cost Filtering
- 4 Continuous-Time Set-Valued State Estimation and Model Validation
- 5 Discrete-Time Set-Valued State Estimation
- 6 Robust State Estimation with Discrete and Continuous Measurements
- 7 Set-Valued State Estimation with Structured Uncertainty
- 8 Robust H? Filtering with Structured Uncertainty
- 9 Robust Fixed Order H? Filtering
- 10 Set-Valued State Estimation for Nonlinear Uncertain Systems
- 11 Robust Filtering Applied to Induction Motor Control
- References