RE 611 - Intelligent Control Systems

3 Credit(s)

This course provides a broad introduction of intelligent systems. Topics include intelligent system design, training and evaluation, decision trees, rule-based systems, Bayesian learning, support vector machines and neural network systems, basics of the fuzzy sets theory, fuzzy sets in the control, standard fuzzy controller, hybrid fuzzy controller, fuzzy numbers, Lyapunov stability in fuzzy systems, fuzzy phase plane, adaptive and self-learning fuzzy controllers, and industrial applications of the intelligent control systems. Students work on the practical design and implementation of the intelligent control algorithms. Basic knowledge of linear algebra is the prerequisite, and experience of nonlinear control systems is expected.