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Decentralized Systems with Design Constraints / by Magdi S. Mahmoud.

Por: Colaborador(es): Tipo de material: TextoTextoEditor: London : Springer London : Imprint: Springer, 2011Descripción: xxI, 556 páginas 133 ilustraciones en color. recurso en líneaTipo de contenido:
  • texto
Tipo de medio:
  • computadora
Tipo de portador:
  • recurso en línea
ISBN:
  • 9780857292902
Formatos físicos adicionales: Edición impresa:: Sin títuloClasificación LoC:
  • TJ212-225
Recursos en línea: Resumen: 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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