Classical and Modern Optimization Techniques Applied to Control and Modeling

Language: English

Published by Taylor and Francis Ltd, GB, 2025

103278511X / 9781032785110

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The book presents a detailed and unified treatment of the theory and applications of optimization applied to control and modeling, focusing on nature-inspired optimization algorithms to optimally tune the parameters of linear and nonlinear controllers and models, with emphasis on tower crane systems and other representative applications.Classical and Modern Optimization Techniques Applied to Control and Modeling combines classical and modern approaches to optimization, based on the authors' experience in the field, and presents in a unified structure the essential aspects of optimization in control and modeling from a control engineer's point of view. It covers linear and nonlinear controllers, and neural networks based on reinforcement learning are considered and analyzed because of the need to reduce the complexity of the controllers and their design so that they can be practical to implement as low-cost automation solutions. The chapters are designed to quickly make the concepts of optimization, control, reinforcement learning, and neural networks understandable to readers with limited experience.This book is intended for a broad audience, including undergraduate and graduate students, engineers (designers, practitioners, and researchers), and anyone facing challenging control problems.

Seller Inventory # LU-9781032785110

Title
Classical and Modern Optimization Techniques Applied to Control and Modeling
Author
Radu-Emil Precup, Raul-Cristian Roman, Elena-Lorena Hedrea, Alexandra-Iulia Szedlak-Stinean, Iuliu Alexandru Zamfirache
Publisher
Taylor and Francis Ltd, GB
Publication year
2025
Condition
New
Binding
Hardback
Language
English
ISBN 10
103278511X
ISBN 13
9781032785110
Item weight
680 grams

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