According to buoyancy driven underwater glider 3-Dimesional motion model and using the LQR(linear quadratic regulator)method,a control scheme is devised for Underwater Glider gliding in Specified Region,the control method is verified valid and feasible using simulation.

And the vibration power flow transmiss ion optimum control effect is simulated,using the Linear quadratic Regular(LQR)t heory.

The methods based on Linear Quadratic Regulators(LQR)theory,Lyapunov stability theory and Zero Effort Miss method are used to design controllers respectively.

To meet the demands of the robustness of interception missile and the co-ordination of the three mass control, the double loop method is proposed which consists of inner-loop design using linear quadratic regulator (LQR) and outer-loop H∞ control considering mixed sensitivity problem.

A simplified model of the steering system incorporating vehicle dynamics is analyzed based on the structure of the active front steering(AFS) system,and a linear quadratic regulator(LQR) controller is proposed.

Neural network PID control system based on linear quadratic regulators;

With a DC motor taken as a control object,the DC motor s rotation speed control system is designed with the method of linear quadratic regulator(LQR) of output feedback.

The optimum control rule is obtained by design of Linear Quadratic Regulator,and the unmeasurable question of open circuit voltage of status variable battery is solved by constructing a status observer to set up a power control algorithm of a fuel cell vehicle based on a full status feedback.