Then by transforming the system dynamics from the world coordinate frame to the task coordinate frame, the optimal Linear Quadratic Regulator (LQR) approach was used to design the optimal contouring controller.

Fuzzy contour control strategy for the ultra precision machine tool;

Then on the basis of constructing the semi-closed-loop three-axis machine tool decoupled contour system model,the static decoupled contour controller was studied,and the pitch error compensation method on the decoupled contour system was presented.

In the thesis several key technologies, such as Acceleration /Deceleration control, curve interpolation, servo control and contour control are researched in details aimed at the development of high-performance CNC system.

Feedback linearity technique is combined with PID or sliding mode control to settle problems that tolerance model complex and lack of controller designing method with conventional contouring control approaches.

Genetic algorithms for multivariable optimal control of activated sludge process;

Optimization of multi-objective optimal control problems and its application in designing of horizontal wells;

Modal optimal control of intelligent inner noise control system;

Fuzzy optimum control of automatic bit feed on rig;

Optimizing design of control system for hot stripcontinuous rolling and optimum control;

Based on MATLAB stochastic parameter system optimum control;