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AuthorFeintuch, Avraham. author
TitleRobust Control Theory in Hilbert Space [electronic resource] / by Avraham Feintuch
ImprintNew York, NY : Springer New York : Imprint: Springer, 1998
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Descript XV, 228 p. online resource


Motivation The latest texts on linear systems for engineering students have begun incorpoยญ rating chapters on robust control using the state space approach to HOC control for linear finite dimensional time-invariant systems. While the pedagogical and computational advantages of this approach are not to be underestimated, there are, in my opinion, some disadvantages. Among these disadvantages is the narrow viewpoint that arises from the amputation of the finite dimensional time-invariant case from the much more general theory that had been developed using frequency domain methods. The frequency domain, which occupied center stage for most of the developยญ ments of HOC control theory, presents a natural context for analysis and controller synthesis for time-invariant linear systems, whether of finite or infinite dimenยญ sions. A fundamental role was played in this theory by operator theoretic methods, especially the theory of Toeplitz and skew-Toeplitz operators. The recent lecture notes of Foias, Ozbay, and Tannenbaum [3] display the power of this theory by constructing robust controllers for the problem of a flexible beam. Although controller synthesis depends heavily on the special computational adยญ vantages of time-invariant systems and the relationship between HOC optimization and classical interpolation methods, it turns out that the analysis is possible without the assumption that the systems are time-invariant


1 Basic Hilbert Space Theory -- 2 Operator Theoretic Preliminaries -- 3 A Distance Formula and Some Consequences -- 4 Factorization Theorems -- 5 Linear Systems -- 6 Stabilization -- 7 Uniform Optimal Control -- 8 Robustness of Time-Varying Systems -- 9 The Gap Metric and Internal Stability -- 10 Robust Stabilization in the Gap Metric -- 11 Orthogonal Embedding of Time-Varying Systems

Mathematics Calculus of variations Mathematics Calculus of Variations and Optimal Control; Optimization


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