  In this paper we craft a cascaded fuzzy controlling system for the
traditional Truck-and-Trailer Backer-Upper problem, which is a benchmarking for
testing various intelligent controlling systems. Inspired by the most
inclination of human operations, we decompose the original overall controlling
problem into two sub-controlling problems. A first fuzzy controller which
predicts the optimal deviation of the trailer leading to a most potential
successful docking is designed based on previous work of other scholars, then a
second fuzzy controller which maximizes such a potentiality is applied to the
truck in an intuitive manner. The final simulation and results not only
demonstrate the practicability of the approach proposed in this paper, but also
exhibits the dramatic simplicity compared with previous work which try to
optimize the system from overall perspective.
