Classical and Modern Optimization Techniques Applied to Control and Modeling (1)
By: and and and and
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- Synopsis
- 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.
- Copyright:
- 2025
Book Details
- Book Quality:
- Publisher Quality
- Book Size:
- 362 Pages
- ISBN-13:
- 9781040323366
- Related ISBNs:
- 9781040323328, 9781032785110, 9781003488279
- Publisher:
- CRC Press
- Date of Addition:
- 03/25/25
- Copyrighted By:
- Radu-Emil Precup, Raul-Cristian Roman, Elena-Lorena Hedrea, Alexandra-Iulia Szedlak-Stinean, Iuliu Alexandru Zamfirache, Reasonable efforts have been made to publish reliable data and information, but the author and publisher cannot assume responsibility f
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Technology, Mathematics and Statistics
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.
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- in Nonfiction
- in Technology
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