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Books > Computing & IT > Applications of computing > Artificial intelligence
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Intelligent Control, Filtering and Model Reduction Analysis for Fuzzy-Model-Based Systems (Hardcover, 1st ed. 2022)
Loot Price: R2,904
Discovery Miles 29 040
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Intelligent Control, Filtering and Model Reduction Analysis for Fuzzy-Model-Based Systems (Hardcover, 1st ed. 2022)
Series: Studies in Systems, Decision and Control, 385
Expected to ship within 10 - 15 working days
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This book aims to introduce the state-of-the-art research of
stability/performance analysis and optimal synthesis methods for
fuzzy-model-based systems. A series of problems are solved with new
approaches of design, analysis and synthesis of fuzzy systems,
including stabilization control and stability analysis, dynamic
output feedback control, fault detection filter design, and
reduced-order model approximation. Some efficient techniques, such
as Lyapunov stability theory, linear matrix inequality,
reciprocally convex approach, and cone complementary linearization
method, are utilized in the approaches. This book is a
comprehensive reference for researchers and practitioners working
on intelligent control, model reduction, and fault detection of
fuzzy systems, and is also a useful source of information for
senior undergraduates and graduates in these areas. The readers
will benefit from some new concepts and methodologies with
theoretical and practical significance in system analysis and
control synthesis.
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