Classical and Modern Optimization Techniques Applied to Control and Modeling /

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...

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Bibliographic Details
Main Authors:	Precup, Radu-Emil (Author), Roman, Raul-Cristian (Author), Hedrea, Elena-Lorena (Author), Szedlak-Stinean, Alexandra-Iulia (Author), Zamfirache, Iuliu Alexandru (Author)
Corporate Author:	Taylor & Francis
Format:	eBook
Language:	English
Published:	[Place of publication not identified] CRC Press. ©2025.
Edition:	First edition.
Subjects:	Automatic control;Clustering;Datamining;Metaheuristic algorithms;Modeling and prediction;Neural networks;Optimal control;Optimization;Reinforcement learning;Tower crane systems Electronic books.
Online Access:	Connect to the full text of this electronic book

Table of Contents:

Chapter 1- IntroductionChapter 2- One-step OptimizationChapter 3- Discrete-time OptimizationChapter 4- Numerical Solving of Optimization ProblemsChapter 5- Metaheuristic Optimization AlgorithmsChapter 6- Optimization Algorithms in Artificial Neural Network TrainingChapter 7- Introduction to Data MiningChapter 8- Reinforcement Learning Applied to Optimal Control