The paper presents an intelligent reactive controller, which is capable of
performing automated parallel parking in a confined space slightly larger t
han the dimensions of the vehicle. This controller combines the features of
fuzzy logic control and sliding-mode control and is modelled as a fuzzy le
arning, automaton. Starting with a brief exposition of the principles of re
active learning; and learning automata, the concept of the reduced complexi
ty sliding-mode fuzzy logic controller (RC-SMFLC), employed, is introduced.
Then the solution of the parking problem via the, RC-SMFLC, along with the
convergence analysis, is presented. Representative simulation results are
provided that demonstrate the parking steps and the effectiveness of the pa
rking controller.