Lectures:
Algebraic Design . Simple-dimension systems. Multi-dimensions systems .
Stochastic Systems Control . Stochastic process . Vector process .
Linear Quadratic Control I. Problem LQR ( Linear Quadratic Regulator ) Formulation . Quadratic Optimal Control . Stability of System with LQR Controller .
Linear Quadratic Control II . Optimal Observer Design . Gauss Linear Quadratic Task Solving (LQG) . Control Systems with LQG Controller Characteristics.
Robust Control - H-infinite . Power Specification and Robust . H2 Optimization and LTR ( Loop Transfer Recovery ) Method . H-infinite Control .
Adaptive Systems . Adaptive Systems with Reference Model . Recursive Estimation . Optimal Control with Minimal Variance . Self-tuning Control Systems, predictors a filters .
Multi-agents Techniques in Control Systems with Knowledge base . Agent Definition . Agents Characteristics . Using Multi-agents in Control Systems .
Projects:
All Ph.D. students received individual project of selected part of subject.
Algebraic Design . Simple-dimension systems. Multi-dimensions systems .
Stochastic Systems Control . Stochastic process . Vector process .
Linear Quadratic Control I. Problem LQR ( Linear Quadratic Regulator ) Formulation . Quadratic Optimal Control . Stability of System with LQR Controller .
Linear Quadratic Control II . Optimal Observer Design . Gauss Linear Quadratic Task Solving (LQG) . Control Systems with LQG Controller Characteristics.
Robust Control - H-infinite . Power Specification and Robust . H2 Optimization and LTR ( Loop Transfer Recovery ) Method . H-infinite Control .
Adaptive Systems . Adaptive Systems with Reference Model . Recursive Estimation . Optimal Control with Minimal Variance . Self-tuning Control Systems, predictors a filters .
Multi-agents Techniques in Control Systems with Knowledge base . Agent Definition . Agents Characteristics . Using Multi-agents in Control Systems .
Projects:
All Ph.D. students received individual project of selected part of subject.