Traction Control of the experimental vehicle with four steering and driven wheels

This thesis deals with traction control algorithms proposal and with creating a dynamic model of a four wheel steering vehicle. There are proposed several control loops, which regulators are derived via various methods. The end of this thesis is dedicated to the fusion of sensoric data using the Kalman filter, for the purposes of estimating the states of the vehicle and improving the odometry