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Hybrid L1 Adaptive Control: Applications of Fuzzy Modeling, Stochastic Optimization and Metaheuristics (Studies in Systems, Decision and Control, 422) free ebook download

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Control Theory

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Catalogue

Author(s):	Roshni Maiti

Date:	2022	Format:	pdf	Language:	English	ISBN/ASIN:	3030971015
Pages:	276	OCR:		Quality:		ISBN13:
Uploader:	risotor	Upload Date:	3/3/2022 1:16:34 PM

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This book details the designing of hybrid control strategies for practical systems containing time varying uncertainties, disturbances, nonlinearities, unknown parameters, unmodelled dynamics, delays, etc., concurrently. In this book, the advantages of different controllers will be brought together to produce superior control performance for the practical systems. Being aware of the advantages of adaptive controller to tackle unknown constant, time varying uncertainties and time varying disturbances, a variant of adaptive controller, namely L1 adaptive controller, is hybridized with other strategies.
In this book, to facilitate optimal parameter setting of the basic L1 adaptive controller, stochastic optimization technique will be hybridized with it. The stability of the optimization technique along with the controller will be guaranteed analytically with the help of spectral radius convergence. The proposed method exhibits satisfactory exploration and exploitation capabilities.
This book will also contain four simulation case studies to validate fruitfulness of the designed controllers. To demonstrate the superior control ability of these controllers in tackling practical system, three experimental case studies will also be provided.
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	Title	Link	Password	Size (MB)	Thank to	Inform Admin
3096792	Book	https://florenfile.com/zf4m49k27uyl/3030...		0.00	risotor

Tags: Adaptive Applications Control Decision Fuzzy Hybrid Metaheuristics Modeling Optimization Stochastic

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Hybrid L1 Adaptive Control: Applications of Fuzzy Modeling, Stochastic Optimization and Metaheuristics (Studies in Systems, Decision and Control, 422) free ebook download

Category: Control Theory

Description: Click to see full description

Category:
Control Theory