Lecturers: Hangos Katalin professor emerita, 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. Theory of signals and systems
signals and systems, operator description of dynamic systems, most important system classes, input-output and state space representations and their mathematical properties, deterministic and stochastic systems, discrete and continuous-time systems
T2. Dynamical analysis of system properties
the concept and methods of investigating the most important system properties (stability, observability, controllability) for LTI systems
T3. Stochastic systems
basics of discrete-time stochastic processes, stochastic input-output and state space models, solution of the stochastic state space model
T4. The most important control theory problem classes
basics of discrete-time stochastic processes, stochastic input-output and state space models, solution of the stochastic state space model
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