Chapter 1- Introduction
Chapter 2- One-step Optimization
Chapter 3- Discrete-time Optimization
Chapter 4- Numerical Solving of Optimization Problems
Chapter 5- Metaheuristic Optimization Algorithms
Chapter 6- Optimization Algorithms in Artificial Neural Network Training
Chapter 7- Introduction to Data Mining
Chapter 8- Reinforcement Learning Applied to Optimal Control
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.?
Dr. RaduEmil Precup is a professor with the Department of Automation and Applied Informatics, Politehnica University of Timisoara, Romania, and Senior Researcher (CS I) and the Head of the Data Science and Engineering Laboratory of the Center for Fundamental and Advanced Technical Research, Romanian Academy Timisoara Branch, Romania.
Dr. RaulCristian Roman is a lecturer with the Department of Automation and Applied Informatics, Politehnica University of Timisoara, Romania. He received a PhD in systems engineering in 2018 from Politehnica University of Timisoara, Timisoara, Romania.
Dr. Elena-Lorena Hedrea is an assistant lecturer with the Department of Automation and Applied Informatics, Politehnica University of Timisoara, Romania.
Dr. Alexandra-Iulia Szedlak-Stinean is a lecturer with the Department of Automation and Applied Informatics, Politehnica University of Timisoara, Romania.
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