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Hybrid L1 Adaptive Control - Applications of Fuzzy Modeling, Stochastic Optimization and Metaheuristics (Hardcover, 1st ed. 2022) Loot Price: R4,140
Discovery Miles 41 400
Hybrid L1 Adaptive Control - Applications of Fuzzy Modeling, Stochastic Optimization and Metaheuristics (Hardcover, 1st ed....

Hybrid L1 Adaptive Control - Applications of Fuzzy Modeling, Stochastic Optimization and Metaheuristics (Hardcover, 1st ed. 2022)

Roshni Maiti, Kaushik Das Sharma, Gautam Sarkar

Series: Studies in Systems, Decision and Control, 422

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Loot Price R4,140 Discovery Miles 41 400 | Repayment Terms: R388 pm x 12*

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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, 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.

General

Imprint: Springer Nature Switzerland AG
Country of origin: Switzerland
Series: Studies in Systems, Decision and Control, 422
Release date: March 2022
First published: 2022
Authors: Roshni Maiti • Kaushik Das Sharma • Gautam Sarkar
Dimensions: 235 x 155mm (L x W)
Format: Hardcover
Pages: 234
Edition: 1st ed. 2022
ISBN-13: 978-3-03-097101-4
Categories: Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers
Books > Computing & IT > Applications of computing > Artificial intelligence > General
Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > General
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LSN: 3-03-097101-5
Barcode: 9783030971014

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