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Decentralized Control and Filtering in Interconnected Dynamical Systems (Paperback)
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Decentralized Control and Filtering in Interconnected Dynamical Systems (Paperback)
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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: Fundamental
era in which the basic conceptual frameworks, major ideas, and
operational methodologies are laid down Contemporary era in which
several of the workable methods and techniques are established and
applied to many application areas 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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