  This paper addresses the trajectory tracking problem of an autonomous
tractor-trailer system by using a fast distributed nonlinear model predictive
control algorithm in combination with nonlinear moving horizon estimation for
the state and parameter estimation in which constraints on the inputs and the
states can be incorporated. The proposed control algorithm is capable of
driving the tractor-trailer system to any desired trajectory ensuring high
control accuracy and robustness against environmental disturbances.
