Stochastic Switching Systems: Analysis and Design (Control Engineering)

Boukas, El-Kébir

ISBN 10: 0817637826 / ISBN 13: 9780817637828

Verlag: Birkhäuser, 2005

Beschreibung

In.

Bestandsnummer des Verkäufers ria9780817637828_new

Bibliografische Details

• Titel: Stochastic Switching Systems: Analysis and Design (Control Engineering)
• Verlag: Birkhäuser
• Erscheinungsjahr: 2005
• Sprache: Englisch
• ISBN-10: 0817637826
• ISBN-13: 9780817637828
• Einband: Hardcover
• Zustand: New

Über diesen Titel

Inhaltsangabe

An introductory chapter highlights basics concepts and practical models, which are then used to solve more advanced problems throughout the book.

Included are many numerical examples and LMI synthesis methods and design approaches.

Von der hinteren Coverseite

Stochastic switching systems represent an interesting class, which can be used to model a variety of systems having abrupt random changes in their dynamics. Such systems may be found in the fields of manufacturing, communications, aerospace, power, and economics.

This work presents stochastic switching systems and provides up-to-date methods and techniques for the analysis and design of various control systems with or without uncertainties. An introductory chapter highlights basic concepts and practical models, which are then used to solve more advanced problems throughout the book. Included are many numerical examples as well as LMI analysis methods and design approaches to supplement the developed results.

Specific topics covered include:

* The stochastic stability problem and its robustness.

* The stabilization problem; different controllers such as the state feedback, output feedback, and observer-based output feedback are designed for nominal and uncertain systems using LMI conditions.

* Systems with external disturbances; different approaches are developed to reject the external disturbances.

* The filtering problem for the class of systems with Markovian jump parameters; Kalman and H-infinity filtering problems are treated and LMI conditions are developed to synthesize the gains of these filters.

* Systems with singular Markovian jump parameters.

Stochastic Switching Systems may be used as a supplementary textbook for graduate-level engineering courses, or as a reference for control engineers, graduate students, and researchers in systems and control. Prerequisites include elementary courses in matrix theory, probability, optimization techniques, and control systems theory.