Robust Stabilisation and H_ Problems
OO It is a matter of general consensus that in the last decade the H _ optimization for robust control has dominated the research effort in control systems theory. Much attention has been paid equally to the mathematical instrumentation and the computational aspects. There are several excellent monographs that cover the standard topics in the area. Among the recent issues we have to cite here Linear Robust Control authored by Green and Limebeer (Prentice Hall 1995), Robust Controller Design Using Normalized Coprime Factor Plant Descriptions - by McFarlane and Glover (Springer Verlag 1989), Robust and Optimal Control - by Zhou, Doyle and Glover (Prentice Hall 1996). Thus, when the authors of the present monograph decided to start the work they were confronted with a very rich literature on the subject. However two reasons motivated their initiative. The first concerns the theory in which the whole development of the book was embedded. As is well known, there are several ways of approach­ oo ing H and robust control theory. Here we mention three relevant direc­ tions chronologically ordered: a) the first makes use of a generalization of the Beurling-Lax theorem to Krein spaces; b) the second makes use of a generalization of Nevanlinna-Pick interpolation theory and commutant lifting theorem; c) the third, and probably the most attractive from an el­ evate engineering viewpoint, is the two Riccati equations based approach which offers a complete solution in state space form.
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Robust Stabilisation and H_ Problems
OO It is a matter of general consensus that in the last decade the H _ optimization for robust control has dominated the research effort in control systems theory. Much attention has been paid equally to the mathematical instrumentation and the computational aspects. There are several excellent monographs that cover the standard topics in the area. Among the recent issues we have to cite here Linear Robust Control authored by Green and Limebeer (Prentice Hall 1995), Robust Controller Design Using Normalized Coprime Factor Plant Descriptions - by McFarlane and Glover (Springer Verlag 1989), Robust and Optimal Control - by Zhou, Doyle and Glover (Prentice Hall 1996). Thus, when the authors of the present monograph decided to start the work they were confronted with a very rich literature on the subject. However two reasons motivated their initiative. The first concerns the theory in which the whole development of the book was embedded. As is well known, there are several ways of approach­ oo ing H and robust control theory. Here we mention three relevant direc­ tions chronologically ordered: a) the first makes use of a generalization of the Beurling-Lax theorem to Krein spaces; b) the second makes use of a generalization of Nevanlinna-Pick interpolation theory and commutant lifting theorem; c) the third, and probably the most attractive from an el­ evate engineering viewpoint, is the two Riccati equations based approach which offers a complete solution in state space form.
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Robust Stabilisation and H_ Problems

Robust Stabilisation and H_ Problems

Robust Stabilisation and H_ Problems

Robust Stabilisation and H_ Problems

Overview

OO It is a matter of general consensus that in the last decade the H _ optimization for robust control has dominated the research effort in control systems theory. Much attention has been paid equally to the mathematical instrumentation and the computational aspects. There are several excellent monographs that cover the standard topics in the area. Among the recent issues we have to cite here Linear Robust Control authored by Green and Limebeer (Prentice Hall 1995), Robust Controller Design Using Normalized Coprime Factor Plant Descriptions - by McFarlane and Glover (Springer Verlag 1989), Robust and Optimal Control - by Zhou, Doyle and Glover (Prentice Hall 1996). Thus, when the authors of the present monograph decided to start the work they were confronted with a very rich literature on the subject. However two reasons motivated their initiative. The first concerns the theory in which the whole development of the book was embedded. As is well known, there are several ways of approach­ oo ing H and robust control theory. Here we mention three relevant direc­ tions chronologically ordered: a) the first makes use of a generalization of the Beurling-Lax theorem to Krein spaces; b) the second makes use of a generalization of Nevanlinna-Pick interpolation theory and commutant lifting theorem; c) the third, and probably the most attractive from an el­ evate engineering viewpoint, is the two Riccati equations based approach which offers a complete solution in state space form.

Product Details

ISBN-13: 9789401059787
Publisher: Springer Netherlands
Publication date: 10/26/2012
Series: Mathematics and Its Applications , #482
Edition description: Softcover reprint of the original 1st ed. 1999
Pages: 187
Product dimensions: 6.30(w) x 9.45(h) x 0.02(d)

Table of Contents

1 Linear Systems: Some Prerequisites.- 1.1 State Space Description and Input/Output Map.- 1.2 Dichotomy. RL?, RH+? and RH?? Spaces.- 1.3 Hankel and Toeplitz Operators.- 1.4 Balanced Forms.- Notes and References.- 2 The Kalman-Popov-Yakubovich System of Indefinite Sign.- 2.1 Popov Triplets: Associated Objects, Equivalence, Duality.- 2.2 Basic Operators.- 2.3 The Stabilizing Solution.- 2.4 A Matrix Pencil Description.- 2.5 The Signature Condition.- Notes and References.- 3 H? Control: A Signature Condition Based Approach.- 3.1 Problem Statement.- 3.2 The Redheffer Theorem.- 3.3 A First Set of Necessary Solvability Conditions.- 3.4 A Second Set of Necessary Solvability Conditions.- 3.5 Coupled and Uncoupled Necessity Solvability Conditions.- 3.6 Sufficient Solvability Conditions: An Explicit Solution in KPYS Terms.- 3.7 Singular Problems: Necessary and Sufficient Conditions.- Notes and References.- 4 The Nehari Problem.- 4.1 The Two-Block Case.- 4.2 The One-Block Case.- Notes and References.- 5 Optimal H? Problems: A Singular Perturbation Approach.- 5.1 Optimal Solution of the H?- Control Problem.- 5.2 Case Studies.- Notes and References.- 6 Singular H? Problems.- 6.1 Robustness with Respect to Multiplicative Uncertainty.- 6.2 Sensitivity Minimization.- Notes and References.
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