1. SISO advanced linear discrete and continuous control systems (with auxiliary controlled variable (cascade), with disturbance variable measurement, with auxiliary manipulated variable, Smith and modified Smith predictor, internal model control)
2. Modification of conventional controllers (2DOF controllers, anti-windup realization, filtration of derivative component).
3. Mathematical models of continuous and discrete MIMO systems (stationarity (t-invariance), realizability, transfer relations, minimum phase, etc.).
4. Block diagram algebra for MIMO systems (serial, parallel and feedback connection, basic transfer function matrices, etc.).
5. Stability of continuous and discrete MIMO control systems (characteristic equation, definitions, conditions and criteria of stability)
6. Autonomy and invariance of continuous and discrete MIMO systems (partial and full autonomy and invariance, conditions, properties, etc.).
7. Synthesis of continuous and discrete MIMO control systems (choice of sampling period, synthesis methods, properties, etc.).
8. State space models of continuous and discrete systems (stationarity (t-invariance), realizability, relations between transfer function matrices and state space models, etc.).
9. Solution of linear continuous state equations (solution in the time and complex variable doman, fundamental matrix, etc.). Discretization of linear continuous state space model.
10. Controllability, stabilizability, observability and detectability of linear continuous and discrete dynamic systems (decomposition, controllability and observability matrices, conditions, etc.)
11. Canonical forms of state space models of linear continuous dynamic systems (transformation matrices).
12. Design of continuous state space controller (procedure, properties, etc.)
13. Design of Luenberger observer (procedure, properties, etc.).
14. Integral state space control.
2. Modification of conventional controllers (2DOF controllers, anti-windup realization, filtration of derivative component).
3. Mathematical models of continuous and discrete MIMO systems (stationarity (t-invariance), realizability, transfer relations, minimum phase, etc.).
4. Block diagram algebra for MIMO systems (serial, parallel and feedback connection, basic transfer function matrices, etc.).
5. Stability of continuous and discrete MIMO control systems (characteristic equation, definitions, conditions and criteria of stability)
6. Autonomy and invariance of continuous and discrete MIMO systems (partial and full autonomy and invariance, conditions, properties, etc.).
7. Synthesis of continuous and discrete MIMO control systems (choice of sampling period, synthesis methods, properties, etc.).
8. State space models of continuous and discrete systems (stationarity (t-invariance), realizability, relations between transfer function matrices and state space models, etc.).
9. Solution of linear continuous state equations (solution in the time and complex variable doman, fundamental matrix, etc.). Discretization of linear continuous state space model.
10. Controllability, stabilizability, observability and detectability of linear continuous and discrete dynamic systems (decomposition, controllability and observability matrices, conditions, etc.)
11. Canonical forms of state space models of linear continuous dynamic systems (transformation matrices).
12. Design of continuous state space controller (procedure, properties, etc.)
13. Design of Luenberger observer (procedure, properties, etc.).
14. Integral state space control.