
1999 / xvii + 555 pages / Hardcover / ISBN: 9780898714111 / List Price $138.50 / SIAM Member Price $96.95 / Order Code AM16
This monograph presents a unified mathematical framework for a wide range of problems in estimation and control. The authors discuss the two most commonly used methodologies: the stochastic H^{2} approach and the deterministic (worstcase) H∞ approach. Despite the fundamental differences in the philosophies of these two approaches, the authors have discovered that, if indefinite metric spaces are considered, they can be treated in the same way and are essentially the same. The benefits and consequences of this unification are pursued in detail, with discussions of how to generalize wellknown results from H^{2} theory to H∞ setting, as well as new results and insight, the development of new algorithms, and applications to adaptive signal processing.
The authors deliberately have placed primary emphasis on estimation problems which enable one to solve all the relevant control problems in detail. They also deal mostly with discretetime systems, since these are the ones most important in current applications.
Audience
Written for the secondyear graduate student in electrical, mechanical, or aerospace engineering, the book requires a basic understanding of linear algebra and linear systems theory. Researchers in systems and control, signal processing, communications, and numerical algorithm development will also find this book useful.
Contents
Preface; Chapter 1: Introduction and Motivation; Chapter 2: Linear Estimation in Krein Spaces; Chapter 3: StateSpace Models in Krein Space; Chapter 4: FiniteHorizon H∞ Filtering; Chapter 5: Array Algorithms; Chapter 6: Several Related Problems; Chapter 7: H∞ Optimality of the LMS Algorithm; Chapter 8: Duality; Chapter 9: FiniteHorizon Control Problems; Chapter 10: InputOutput Approach to H^{2} and H∞ Estimation; Chapter 11: InputOutput Approach to H^{2} and H∞ Control; Chapter 12: The DiscreteTime Algebraic Riccati Equation; Chapter 13: InfiniteHorizon Results for StateSpace Models; Chapter 14: Asymptotic Behavior; Chapter 15: Optimal H∞ Solutions; Chapter 16: ContinuousTime Results and Final Remarks; Bibliography; Index.
9780898714111