Maiti Roshni, Das Sharma Kaushik, Sarkar Gautam Hybrid L1 Adaptive Control: Applications of Fuzzy Modeling, Stochastic Optimization and Metaheuristics 9783030971014

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Автор: Maiti Roshni, Das Sharma Kaushik, Sarkar Gautam
Название: Hybrid L1 Adaptive Control: Applications of Fuzzy Modeling, Stochastic Optimization and Metaheuristics
ISBN: 9783030971014
Издательство: Springer
Классификация:

Кибернетика и теория систем

Математика для инженеров

Техника автоматического регулирования

Искусственный интеллект

ISBN-10: 3030971015
Обложка/Формат: Hardcover
Страницы: 278
Вес: 0.57 кг.
Дата издания: 02.04.2022
Серия: Studies in systems, decision and control
Язык: English
Издание: 1st ed. 2022
Иллюстрации: 150 illustrations, color; 17 illustrations, black and white; xlii, 234 p. 167 illus., 150 illus. in color.
Размер: 23.39 x 15.60 x 1.75 cm
Читательская аудитория: Professional & vocational
Подзаголовок: Applications of fuzzy modeling, stochastic optimization and metaheuristics
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: 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.
Дополнительное описание: 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.-

Hybrid L1 Adaptive Control: Applications of Fuzzy Modeling, Stochastic Optimization and Metaheuristics, Maiti Roshni, Das Sharma Kaushik, Sarkar Gautam