Lecturer: Magyar Attila professor
The subject assumes knowledge of the following subjects and builds on them:
Discrete and continuous systems
Topics
Students acquire knowledge related to the following topics, taking into account their individual training plan and interests:
T1. LTI state feedback-based controllers
Stabilizing, disturbance rejection and robust control methods, pole placement and its extensions, LQR and its extensions, state observers
T3. Model predictive control
Model predictive control of dynamic systems, optimization methods and their application in model predictive control, models and parameter estimation, implementation issues.
T3. Fuzzy logic control
Fuzzy logic, fuzzy inference, application of fuzzy inference system to control tasks, PD, PID-like fuzzy controllers, evolutionary fuzzy controls
The evaluation is based on the development of an individual project task related to the above topics.
Literature
Hangos, K.M., Bokor, J., Szederkényi, G. (2002). Computer controlled systems, Veszprémi Egyetemi Kiadó, Veszprém
Liuping Wang (2009). Model Predictive Control System Design and Implementation Using MATLAB, Springer
Nazmul Siddique (2013). Intelligent Control - A Hybrid Approach Based on Fuzzy Logic,
Neural Networks and Genetic Algorithms, Springer