Stochastic Digital Control System Techniques: Advances in Theory and Applications
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Table of contents
- CONTENTSv
- CONTRIBUTORSvii
- PREFACEix
- Chapter 1. Algorithmic Techniques in Estimation and Control for Multirate Sampled Digital Control Sy1
- Chapter 2. Output Covariance Constraint Problem for Periodic and Multirate Systems33
- Chapter 3. Discrete-Time Fake Riccati Equations for Kalman Filtering and Receding-Horizon Control79
- Chapter 4. Techniques in Computational Stochastic Dynamic Programming103
- Chapter 5. Techniques in Model Error by Means of Linear Kalman Filtering163
- Chapter 6. Hybrid Estimation Techniques213
- Chapter 7. Nonlinear Systems Modeling & Identification Using Higher Order Statistics/Polyspectra289
- Chapter 8. Techniques in the Maximum Likelihood Estimation of the Covariance Matrix323
- Chapter 9. Control of Discrete-Time Hybrid Stochastic Systems341
- Chapter 10.The Discrete-Time Kalman Filter under Uncertainty in Noise Covariances363
- INDEX417
Praise for the Series:
"This book will be a useful reference to control engineers and researchers. The papers contained cover well the recent advances in the field of modern control theory."
-IEEE Group Correspondence
"This book will help all those researchers who valiantly try to keep abreast of what is new in the theory and practice of optimal control."
--Control
"This book will be a useful reference to control engineers and researchers. The papers contained cover well the recent advances in the field of modern control theory."
-IEEE Group Correspondence
"This book will help all those researchers who valiantly try to keep abreast of what is new in the theory and practice of optimal control."
--Control