Lecturer: Hangos Katalin 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. Modeling and model analysis of dynamical systems
method of building dynamic system models, modeling procedure and steps, setting up dynamic models with concentrated parameters, determining the state variables, input and output of the system, system models in the form of differential-algebraic equations and their properties, verification and validation of dynamic system models, structural system properties
T2. Special modeling methods
modeling of distributed parameter systems, discrete and hybrid system models, empirical modeling (gray and black box models)
T3. Diagnostics of dynamic systems
basics of diagnostics of dynamic systems: diagnostics based on parameter estimation and prediction, modeling of dynamic systems for diagnostic purposes, diagnostics using discrete methods, observers and error-sensitive filters.
The evaluation is based on the development of an individual project task related to the above topics.
Literature
Blanke, M., Kinnaert, M., Lunze, J., Staroswiecki, M. (2016) Diagnosis and fault-tolerant control (3rd edition), Springer, Berlin Heidelberg
Hangos, K.M., Szederkényi, G. (1999). Dinamikus rendszerek paramétereinek becslése, Veszprémi Egyetemi Kiadó
Hangos, K.M., Bokor, J., Szederkényi, G. (2002). Computer controlled systems, Veszprémi Egyetemi Kiadó, Veszprém
Hangos, K.M., Lakner, R. (2014) Dynamic system modeling for control and diagnosis. Typotex Kiadó.
Hangos, K.M., Lakner, R., Werner Stark, Á. (2012) Modell alapú diagnosztika diszkrét módszerekkel, Pannon Egyetem, Veszprém
Ljung, L. (1999). System Identification: Theory for the User, Prentice Hall