| Autors: Grantcharov, A. E., Uzunova, M. Title: Intelligent Systems for Optimal and Adaptive Control Keywords: Modelling, Control systems, Machine Learning Abstract: This exercise book offers a practical introduction to control theory and the application of machine learning in industrial control systems. It explores some basic concepts of open and closed control systems, the role of data collection and processing, and decision-making processes. A significant part is devoted to mathematical modeling of processes. The book includes exercises in MatLab/Simulink and Python. Simulations of dynamic systems (heating, DC motors, liquid level), predictions with classical and neural methods (RNN/LSTM), classification using SVM, MLP, and CNN, clustering with K-means, linear optimization, and TSP-type problems are considered. It concludes with intelligent control using fuzzy logic. The material provides skills for designing intelligent and predictive control solutions. References Issue
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