1. Stability of regulatory circuits, basic concepts and definitions, algebraic stability criteria , frequency stability criteria, solution stability using logarithmic frequency response characteristics.
2. The accuracy of the regulation, the calculation of the control deviation, the choice of type of regulator and its settings from the perspective of the accuracy requirements of regulation.
3. Quality of control, criteria of quality of control, the method of setting the regulator in terms of ensuring the optimal control process.
4. Use the methods of inverse Dynamics for optimum setting of linear regulatory circuits.
5. The different types of non-linear systems and their mathematical description.
6. Control of nonlinear systems, linearization and special methods of solution.
7. Stability of nonlinear systems and setting of nonlinear controllers with applications in metallurgy.
8. The status description of the linear and nonlinear dynamical systems and its use for the simulation and control.
9. Application of z-transform for discrete control of metallurgical processes.
10. Stability and accuracy of the discrete control circuits.
11. Setting discrete regulators for optimal control of metallurgical aggregates.
12. Adaptive control of technological processes and its algorithms, the use of adaptive identification.
13. Fuzzy control, fundamental terms, fuzzy sets theory, fuzzification and defuzzification.
14. Fuzzy controllers, option, setting, comparing of fuzzy controllers with the classical regulators.
15. Artificial neural networks and their applications in control.
2. The accuracy of the regulation, the calculation of the control deviation, the choice of type of regulator and its settings from the perspective of the accuracy requirements of regulation.
3. Quality of control, criteria of quality of control, the method of setting the regulator in terms of ensuring the optimal control process.
4. Use the methods of inverse Dynamics for optimum setting of linear regulatory circuits.
5. The different types of non-linear systems and their mathematical description.
6. Control of nonlinear systems, linearization and special methods of solution.
7. Stability of nonlinear systems and setting of nonlinear controllers with applications in metallurgy.
8. The status description of the linear and nonlinear dynamical systems and its use for the simulation and control.
9. Application of z-transform for discrete control of metallurgical processes.
10. Stability and accuracy of the discrete control circuits.
11. Setting discrete regulators for optimal control of metallurgical aggregates.
12. Adaptive control of technological processes and its algorithms, the use of adaptive identification.
13. Fuzzy control, fundamental terms, fuzzy sets theory, fuzzification and defuzzification.
14. Fuzzy controllers, option, setting, comparing of fuzzy controllers with the classical regulators.
15. Artificial neural networks and their applications in control.