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385,89 €
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Stochastic Switching Systems
Stochastic Switching Systems
347,30
385,89 €
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Stochastic switching systems represent an interesting class of systems that can be used to model a variety of systems having abrupt random changes in their dynamics. Such systems may be found in manufacturing, communications, aerospace, power, and economics systems. 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…
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Stochastic switching systems represent an interesting class of systems that can be used to model a variety of systems having abrupt random changes in their dynamics. Such systems may be found in manufacturing, communications, aerospace, power, and economics systems.

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 and LMI analysis methods and design approaches. The work may be used as a textbook for graduate-level engineering courses, or as a reference for practicing control engineers, graduate students, and researchers in systems and control.

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  • Author: El-Kébir Boukas
  • Publisher:
  • ISBN-10: 0817637826
  • ISBN-13: 9780817637828
  • Format: 16.3 x 24.2 x 2.4 cm, hardcover
  • Language: English English

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

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 and LMI analysis methods and design approaches. The work may be used as a textbook for graduate-level engineering courses, or as a reference for practicing control engineers, graduate students, and researchers in systems and control.

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