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Hybrid L1 Adaptive Control: Applications of Fuzzy Modeling, Stochastic Optimization and Metaheuristics

ISBN-13: 9783030971045 / Angielski / Miękka / 2023 / 234 str.

Roshni Maiti; Kaushik Das Sharma; Gautam Sarkar
Hybrid L1 Adaptive Control: Applications of Fuzzy Modeling, Stochastic Optimization and Metaheuristics Roshni Maiti Kaushik Da Gautam Sarkar 9783030971045 Springer - książkaWidoczna okładka, to zdjęcie poglądowe, a rzeczywista szata graficzna może różnić się od prezentowanej.

Hybrid L1 Adaptive Control: Applications of Fuzzy Modeling, Stochastic Optimization and Metaheuristics

ISBN-13: 9783030971045 / Angielski / Miękka / 2023 / 234 str.

Roshni Maiti; Kaushik Das Sharma; Gautam Sarkar
cena 605,23
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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, namelyL1adaptive controller, is hybridized with other strategies.In this book, to facilitate optimal parameter setting of the basicL1adaptive 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 withL1adaptive 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-L1adaptive 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.

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.

Kategorie:
Technologie
Kategorie BISAC:
Technology & Engineering > Automation
Technology & Engineering > Engineering (General)
Technology & Engineering > Electrical
Wydawca:
Springer
Seria wydawnicza:
Studies in Systems, Decision and Control
Język:
Angielski
ISBN-13:
9783030971045
Rok wydania:
2023
Dostępne języki:
Ilość stron:
234
Waga:
0.43 kg
Wymiary:
23.5 x 15.5
Oprawa:
Miękka
Dodatkowe informacje:
Wydanie ilustrowane

"The present book investigates the designing associated with hybrid control strategies for practical systems which include time varying uncertainties, nonlinearities, or disturbances. This work is of real interest for engineers and scientists working in different disciplines, such as: mechanical engineering, electrical engineering, system engineering, applied mathematics, network science, control theory, and so on." (Savin Treanta, zbMATH 1508.93003, 2023)

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.



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