Hybrid L1 Adaptive Control

Lieferzeit: Lieferbar innerhalb 14 Tagen

160,49 

Applications of Fuzzy Modeling, Stochastic Optimization and Metaheuristics, Studies in Systems, Decision and Control 422

ISBN: 303097104X
ISBN 13: 9783030971045
Autor: Maiti, Roshni/Das Sharma, Kaushik/Sarkar, Gautam
Verlag: Springer Verlag GmbH
Umfang: xlii, 234 S., 17 s/w Illustr., 150 farbige Illustr., 234 p. 167 illus., 150 illus. in color.
Erscheinungsdatum: 03.03.2023
Auflage: 1/2023
Produktform: Kartoniert
Einband: Kartoniert

Provides detailed mathematical explanation of the theories, which will help in better understandingDescribes proposed methods with a numbers of architecture drawings, flow charts to increase the reading interestEmploys developed theories in simulation case studies in each chapter to demonstrate their application procedure

Artikelnummer: 8583537 Kategorie:

Beschreibung

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. Again, this book will throw light on tackling nonlinearities along with uncertainties and disturbances by hybridizing fuzzy logic with L1 adaptive controller. The performances of the designed controllers will be compared with different control methodologies to validate their effectiveness. The overall stability of the nonlinear system with the designed controller will be guaranteed with the help of fuzzy Lyapunov function to retain the zonal behaviour of the system. This fuzzy PDC-L1 adaptive controller is efficient to tackle nonlinearities and at the same time cancels unknown constant, time varying uncertainties and time varying disturbances adequately. 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.

Herstellerkennzeichnung:


Springer Verlag GmbH
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69121 Heidelberg
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E-Mail: juergen.hartmann@springer.com

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