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Decentralized Control and Filtering in Interconnected Dynamical Systems
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Decentralized Control and Filtering in Interconnected Dynamical Systems

Book Details

Format Paperback / Softback
ISBN-10 1138117978
ISBN-13 9781138117976
Publisher Taylor & Francis Ltd
Imprint CRC Press
Country of Manufacture GB
Country of Publication GB
Publication Date May 22nd, 2017
Print length 618 Pages
Weight 1,140 grams
Ksh 13,250.00
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Based on the many approaches available for working with large-scale systems (LSS), this book supplies a rigorous framework for studying the analysis, stability, and control problems of LSS. Providing an overall assessment of LSS theories, it addresses model order reduction, parametric uncertainties, time delays, and control estimator gain perturbations. It addresses the dominating sources of difficulties due to dimensionality, information structure constraints, uncertainties, and time delays. The text is supported by proofs, efficient computational methods, end-of-chapter problems, and approximately 1,300 equations.

Based on the many approaches available for dealing with large-scale systems (LSS), Decentralized Control and Filtering in Interconnected Dynamical Systems supplies a rigorous framework for studying the analysis, stability, and control problems of LSS. Providing an overall assessment of LSS theories, it addresses model order reduction, parametric uncertainties, time delays, and control estimator gain perturbations.

Taking readers on a guided tour through LSS, the book examines recent trends and approaches and reviews past methods and results from a contemporary perspective. It traces the progress of research along three eras:

  1. Fundamental era in which the basic conceptual frameworks, major ideas, and operational methodologies are laid down
  2. Contemporary era in which several of the workable methods and techniques are established and applied to many application areas
  3. Advanced era in which different high-level schemes and configurations are being developed to meet accelerated technological advancements

Focusing on robust, reliable, and/or resilient decentralized design methods based on linear matrix inequalities framework, the author offers suggestions for improvements to current approaches. He addresses the dominating sources of difficulties due to dimensionality, information structure constraints, uncertainties, and time delays. Drawing attention to key issues, the text is supported by proofs, efficient computational methods, end-of-chapter problems, and approximately 1,300 equations.


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