1. Stability of control circuits as a necessary condition of the existence of a control circuit, basic concepts and definitions, algebraic and frequency criteria, solving stability by frequency logarithmic characteristics.
2. Control accuracy, calculation of the control deviation, selection of the controller type and its adjustment in terms of regulatory accuracy requirements. The key importance of accuracy of the encoded variable sensor and the accuracy of regulation.
3. Quality of regulation, quality control criteria, methods of setting the controller in order to ensure optimal control march. Practical use of individual methods of setting linear control circuits with knowledge of the mathematical description of the regulated system.
4. Non-linear elements of technological processes. Individual types of nonlinear systems and their mathematical description. Software implementation of typical nonlinearities and their influence on the management strategy and their use in control.
5. Control of non-linear systems, linearization and special methods of solution. Stability of nonlinear systems and setting of nonlinear regulators with applications in metallurgy and related fields.
6. State description of linear and nonlinear dynamic systems and their use for simulation and control.
7. Discrete control and its application in technological processes management. Stability and accuracy of discrete control circuits. Software implementation of discrete controllers. Discrete controllers settings for optimal control of metallurgical aggregates and technological processes.
8. Adaptive control of technological processes and their algorithms, use of adaptive identification. Self-adjusting regulators.
9. Fuzzy control, basic concepts, fuzzy sets, fuzzification, defuzzification. Fuzzy controllers, choice, setting, comparison with classic regulation.
10. Neural networks and genetic algorithms and their application in technological processes control.
2. Control accuracy, calculation of the control deviation, selection of the controller type and its adjustment in terms of regulatory accuracy requirements. The key importance of accuracy of the encoded variable sensor and the accuracy of regulation.
3. Quality of regulation, quality control criteria, methods of setting the controller in order to ensure optimal control march. Practical use of individual methods of setting linear control circuits with knowledge of the mathematical description of the regulated system.
4. Non-linear elements of technological processes. Individual types of nonlinear systems and their mathematical description. Software implementation of typical nonlinearities and their influence on the management strategy and their use in control.
5. Control of non-linear systems, linearization and special methods of solution. Stability of nonlinear systems and setting of nonlinear regulators with applications in metallurgy and related fields.
6. State description of linear and nonlinear dynamic systems and their use for simulation and control.
7. Discrete control and its application in technological processes management. Stability and accuracy of discrete control circuits. Software implementation of discrete controllers. Discrete controllers settings for optimal control of metallurgical aggregates and technological processes.
8. Adaptive control of technological processes and their algorithms, use of adaptive identification. Self-adjusting regulators.
9. Fuzzy control, basic concepts, fuzzy sets, fuzzification, defuzzification. Fuzzy controllers, choice, setting, comparison with classic regulation.
10. Neural networks and genetic algorithms and their application in technological processes control.