Optimal, Predictive and Adaptive Control
Published on 1. June 1994
Book
Paperback/Softback
480 pages
978-0-13-847609-0 (ISBN)
Description
An exploration of Linear Quadratic control and predictive control, this volume provides balanced coverage of theoretical foundations, analysis and design methodologies, and application-oriented tools. It presents LQ and LQG control via two alternative approaches, discusses predictive control within the framework of LQ control, and offers a thorough presentation of indirect adaptive multi-step predictive controllers with detailed proofs of globally convergent schemes for both the ideal and the bounded disturbance case.
More details
Language
English
Place of publication
United States
Publishing group
Pearson Education (US)
Target group
College/higher education
Dimensions
Height: 240 mm
Width: 185 mm
Thickness: 22 mm
Weight
906 gr
ISBN-13
978-0-13-847609-0 (9780138476090)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Content
1. Introduction.
I. BASIC DETERMINISTIC THEORY OF LQ AND PREDICTIVE CONTROL.
2. Deterministic LQ Regulation - I: Riccati-Based Solution.
3. I/O Descriptions and Feedback Systems.
4. Deterministic LQ Regulation - II: Solution via Polynomial Equations.
5. Deterministic Receding Horizon Control.
II. STATE ESTIMATION, SYSTEM IDENTIFICATION, LQ AND PREDICTIVE STOCHASTIC CONTROL.
6. Recursive State Filtering and System Identification.
7. LQ and Predictive Stochastic Control.
III. ADAPTIVE CONTROL.
8. Single-Step-Ahead Self-Tuning Control.
9. Adaptive Predictive Control.
APPENDICES.
A. Some Results from Linear Systems Theory.
B. Some Results of Polynomial Matrix Theory.
C. Some Results on Linear Diophantine Equations.
D. Probability Theory and Stochastic Processes.
References.
Some Often Used Abbreviations.
Index.
I. BASIC DETERMINISTIC THEORY OF LQ AND PREDICTIVE CONTROL.
2. Deterministic LQ Regulation - I: Riccati-Based Solution.
3. I/O Descriptions and Feedback Systems.
4. Deterministic LQ Regulation - II: Solution via Polynomial Equations.
5. Deterministic Receding Horizon Control.
II. STATE ESTIMATION, SYSTEM IDENTIFICATION, LQ AND PREDICTIVE STOCHASTIC CONTROL.
6. Recursive State Filtering and System Identification.
7. LQ and Predictive Stochastic Control.
III. ADAPTIVE CONTROL.
8. Single-Step-Ahead Self-Tuning Control.
9. Adaptive Predictive Control.
APPENDICES.
A. Some Results from Linear Systems Theory.
B. Some Results of Polynomial Matrix Theory.
C. Some Results on Linear Diophantine Equations.
D. Probability Theory and Stochastic Processes.
References.
Some Often Used Abbreviations.
Index.