Review of fundamental concepts and neural network (NN) architectures. Fuzzy logic and reasoning. Architectures for fuzzy and neural control. Model-based fuzzy control and stability/optimality analysis using Linear Matrix Inequalities (LMIs). Robust and adaptive intelligent (fuzzy and neural) control. Reinforcement learning approaches. Applications in robotic systems and power systems
- Teacher: Χαραλαμπος Ψυλλακης
ECTS : 4
Study Load : theory 3, lab 0
Language : el