Introduction to intelligent control: strategies & characteristics. Fuzzy logic system: Basic concepts of Fuzzy logic approaches, classical sets & Fuzzy sets, linguistic variables, membership functions, basic operation, Fuzzy relations, numbers and arithmetic & logical operations, different deFuzzification techniques, Fuzzy rule based model & model based controllers, PID controllers, application of Fuzzy controllers. Neural Networks: Fundamentals of biological neuron model and ANN, back propagation & related training algorithms, dynamic systems & neural training algorithms, some practical aspects of neural networks, identification of dynamic systems. Genetic algorithms: Basic concepts, design issues & application of genetic algorithms to optimization problem.
