Lectures:
State Variable Representation. Analysis of Control Systems in State Space . Solution of State Equations . State Transition Matrix . State Variable Diagrams.
Solution of State Equations of Discrete-time Control Systems. State Transition Matrix . State Variable Diagrams. Relationship between Continuos and Discrete-time Systems. Discretization of Continuos-time Systems. Sampled Data Systems. Frequency Analysis of Sampling.
Nonlinear Feedback Control Systems . Characteristics of Nonlinearities. Methods Available for Analyzing Nonlinear Feedback Control Systems . Linearizing Approximations .
Nonlinear Control Systems Stability . Liapunov?s Stability Criteria. Popov?s Stability Criterion . Describing-function Analysis Nonlinear Feedback Control Systems .
Optimal Control Systems . Characteristic of the Optimal Control Problem . Optimality Criterions . Linear Programming . Numerical Methods Searching of Extremum of Functions.
Technological Processes Static Optimization . Extremal controllers . Dynamic Optimization . Calculus of Variations . Pontryagin?s Minimum Principle . Dynamic Programming .
Adaptive Systems Structure. Learning Systems Structure. Adaptive Identification and Control with Model. Adaptation Methods . Pattern Recognition . Expert System Using .
Projects:
All Ph.D. students received individual project of selected part of subject.
State Variable Representation. Analysis of Control Systems in State Space . Solution of State Equations . State Transition Matrix . State Variable Diagrams.
Solution of State Equations of Discrete-time Control Systems. State Transition Matrix . State Variable Diagrams. Relationship between Continuos and Discrete-time Systems. Discretization of Continuos-time Systems. Sampled Data Systems. Frequency Analysis of Sampling.
Nonlinear Feedback Control Systems . Characteristics of Nonlinearities. Methods Available for Analyzing Nonlinear Feedback Control Systems . Linearizing Approximations .
Nonlinear Control Systems Stability . Liapunov?s Stability Criteria. Popov?s Stability Criterion . Describing-function Analysis Nonlinear Feedback Control Systems .
Optimal Control Systems . Characteristic of the Optimal Control Problem . Optimality Criterions . Linear Programming . Numerical Methods Searching of Extremum of Functions.
Technological Processes Static Optimization . Extremal controllers . Dynamic Optimization . Calculus of Variations . Pontryagin?s Minimum Principle . Dynamic Programming .
Adaptive Systems Structure. Learning Systems Structure. Adaptive Identification and Control with Model. Adaptation Methods . Pattern Recognition . Expert System Using .
Projects:
All Ph.D. students received individual project of selected part of subject.