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Decentralized Systems with Design Constraints [electronic resource] / by Magdi S. Mahmoud.

By: Contributor(s): Material type: TextPublisher: London : Springer London : Imprint: Springer, 2011Description: XXI, 556p. 133 illus. in color. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9780857292902
  • 99780857292902
Subject(s): Additional physical formats: Printed edition:: No titleDDC classification:
  • 629.8 23
Online resources: In: Springer eBooksSummary: Decentralized Systems with Design Constraints provides a rigorous framework for examining the analysis, stability and control of large-scale systems, and addressing the difficulties that arise because of dimensionality, information structure constraints, parametric uncertainty and time-delays. The achievements of this monograph are three-fold. It: ·         reviews past methods and results from a contemporary perspective; ·         examines present trends and approaches to provide future possibilities; and ·         investigates robust, reliable and/or resilient decentralized design methods based on a linear matrix inequalities framework. As well as providing an overall assessment of large-scale systems theories over the past several decades, the author presents key related concepts and efficient computational methods. Representative numerical examples, end-of-chapter problems, and typical system applications are included, and theoretical developments and practical applications of large-scale (interconnected) dynamical systems are discussed in depth.
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Decentralized Systems with Design Constraints provides a rigorous framework for examining the analysis, stability and control of large-scale systems, and addressing the difficulties that arise because of dimensionality, information structure constraints, parametric uncertainty and time-delays. The achievements of this monograph are three-fold. It: ·         reviews past methods and results from a contemporary perspective; ·         examines present trends and approaches to provide future possibilities; and ·         investigates robust, reliable and/or resilient decentralized design methods based on a linear matrix inequalities framework. As well as providing an overall assessment of large-scale systems theories over the past several decades, the author presents key related concepts and efficient computational methods. Representative numerical examples, end-of-chapter problems, and typical system applications are included, and theoretical developments and practical applications of large-scale (interconnected) dynamical systems are discussed in depth.

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