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Hybrid L1 adaptive controlapplications of fuzzy modeling, stochastic optimization and metaheuristics /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Hybrid L1 adaptive controlby Roshni Maiti, Kaushik Das Sharma, Gautam Sarkar.
其他題名:	applications of fuzzy modeling, stochastic optimization and metaheuristics /
作者:	Maiti, Roshni.
其他作者:	Das Sharma, Kaushik.
出版者:	Cham :Springer International Publishing :2022.
面頁冊數:	xlii, 234 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Adaptive control systems.
電子資源:	https://doi.org/10.1007/978-3-030-97102-1
ISBN:	9783030971021$q(electronic bk.)

Hybrid L1 adaptive controlapplications of fuzzy modeling, stochastic optimization and metaheuristics /
Maiti, Roshni.

Hybrid L1 adaptive controlapplications of fuzzy modeling, stochastic optimization and metaheuristics /[electronic resource] :by Roshni Maiti, Kaushik Das Sharma, Gautam Sarkar. - Cham :Springer International Publishing :2022. - xlii, 234 p. :ill., digital ;24 cm. - Studies in systems, decision and control,v. 4222198-4190 ;. - Studies in systems, decision and control ;v.3..

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.

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.

ISBN: 9783030971021$q(electronic bk.)

Standard No.: 10.1007/978-3-030-97102-1doiSubjects--Topical Terms:

182317
Adaptive control systems.

LC Class. No.: TJ217 / .M35 2022

Dewey Class. No.: 629.836

Hybrid L1 adaptive controlapplications of fuzzy modeling, stochastic optimization and metaheuristics /
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505 0 $a 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.
520 $a 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.
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