1. Introduction to systems modelling.
2. Mathematical description of dynamic systems.
3. Physical modelling.
4. Mathematical modelling, analogy.
5. Analytical and experimental methods of system identification.
6. Simulation of systems.
7. Simulation program SIMULINK, creation of simulation models of selected
industrial processes.
8. Unconventional modelling, artificial intelligence.
9. Neural networks, neuron models, learning and generalisation of neural
networks, learning algorithms.
10. Creation of neural networks models of selected industrial processes in
software tools NEUREX, Statistika Neural Networks and MATLAB Neural Network
Toolbox.
2. Mathematical description of dynamic systems.
3. Physical modelling.
4. Mathematical modelling, analogy.
5. Analytical and experimental methods of system identification.
6. Simulation of systems.
7. Simulation program SIMULINK, creation of simulation models of selected
industrial processes.
8. Unconventional modelling, artificial intelligence.
9. Neural networks, neuron models, learning and generalisation of neural
networks, learning algorithms.
10. Creation of neural networks models of selected industrial processes in
software tools NEUREX, Statistika Neural Networks and MATLAB Neural Network
Toolbox.