Description

The motivation of this doctoral thesis is to contribute to the control and planning tasks of autonomous vehicles based on learning methods applying directly to train the controller.In the control stage by means of learning methods which feeded by the LPV and MPC techniques guaranteeing feasibility, stability conditions as well as increasing performance levels while dealing with disturbances and sensor noise.In the trajectory planning task by researching the learning methods while dealing with fixed-moving obstacles and the changing environment.