Hybrid L1 adaptive control : applications of fuzzy modeling, stochastic optimization and metaheuristics / Roshni Maiti, Kaushik Das Sharma, Gautam Sarkar.
Maiti, Roshni, author.; Das Sharma, Kaushik, author.; Sarkar, Gautam, 1953- author.
2022
TJ217 .M35 2022
Available Online

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Title Hybrid L1 adaptive control : applications of fuzzy modeling, stochastic optimization and metaheuristics / Roshni Maiti, Kaushik Das Sharma, Gautam Sarkar.
Author Maiti, Roshni, author.
ISBN 9783030971021 (electronic bk.)
3030971023 (electronic bk.)
9783030971014
3030971015
DOI https://doi.org/10.1007/978-3-030-97102-1
Published Cham : Springer, [2022]
Copyright ©2022
Language English
Description 1 online resource : illustrations (chiefly color).
Other Standard Identifiers 10.1007/978-3-030-97102-1 doi
Call Number TJ217 .M35 2022
Dewey Decimal Classification 629.8/36
Summary 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.
Bibliography, etc. Note Includes bibliographical references and index.
Access Note Access limited to authorized users.
Source of Description Online resource; title from PDF title page (SpringerLink, viewed March 14, 2022).
Added Author Das Sharma, Kaushik, author.
Sarkar, Gautam, 1953- author.
Series Studies in systems, decision and control ; v. 422.
Available in Other Form Print version: 9783030971014
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Introduction
Basic L1 Adaptive Controller: A State Of The Art Study
Hybrid L1 Adaptive Controller- I: Stochastic Optimization & Metaheuristics Based Approach
Hybrid L1 Adaptive Controller- II: Fuzzy Parallel Distributed Compensation Based Approach
Speed Control Of Electrical Actuator
Angular Position Control Of Two Link Robot Manipulator
Temperature Control Of Air Heater System
Future Research Directions Of Hybrid Controller.

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