Safety critical and high-integrity systems, such as industrial plants and economic systems can be subject to abrupt changes - for instance due to component or interconnection failure, and sudden environment changes etc.
Combining probability and operator theory, Discrete-Time Markov Jump Linear Systems provides a unified and rigorous treatment of recent results for the control theory of discrete jump linear systems, which are used in these areas of application.
The book is designed for experts in linear systems with Markovian jump parameters, but will also be the first book for specialists in stochastic control to present stochastic control problems for which an explicit solution is possible - making the book suitable for course use.
Rezensionen / Stimmen
From the reviews:
"This text is very well written...it may prove valuable to those who work in the area, are at home with its mathematics, and are interested in stability of linear systems, optimal control, and filtering." Journal of the American Statistical Association, December 2005
"The book is concerned with the control of discrete-time stochastic linear systems whose dynamics can abruptly change. . It gives a comprehensive theory for the control of these systems within the operator theoretic framework . . The book is highly recommended to anybody with an interest in control problems associated with Markov Jump Linear Systems." (G. C. Goodwin, Short Book Reviews, Vol. 25 (2), 2005)
Reihe
Auflage
Sprache
Verlagsort
Zielgruppe
Für höhere Schule und Studium
Für Beruf und Forschung
Postgraduate students and researchers in Control Theory, engineers
Produkt-Hinweis
Fadenheftung
Gewebe-Einband
Illustrationen
15
15 s/w Abbildungen
X, 286 p. 15 illus.
Maße
Höhe: 241 mm
Breite: 163 mm
Dicke: 23 mm
Gewicht
ISBN-13
978-1-85233-761-2 (9781852337612)
DOI
Schweitzer Klassifikation
Preface.- Markovian Jump Linear Systems.- Background Material.- On Stability.- Optimal Control.- Linear Filtering.- Quadratic Optimal Control with Partial Information.- H2- Control.- Design Techniques and Examples.- Appendix A: Coupled Algebraic Riccati Equations.- Appendix B: Auxiliary Results for the Linear Filtering Problem with (k) Unknown.- Appendix C: Auxiliary Results for the H2 Control Problem.- Notation and Corrections.- References.