Optimal fuzzy control of autonomous robot car

The paper describes the design of the fuzzy control system for an autonomous robot car which operates in unknown, unpredictable, and dynamic environment. The fuzzy control system must provide the fusing of data from multiple sensors and must ensure navigation of the autonomous robot car. Both - an obstacle avoidance control strategy and a target tracking control strategy - are used for the control of the autonomous robot car. They are combined and thereby resulting in an optimal control policy of the fuzzy control system. A computer simulationpsilas experiments of mobile autonomous robot carpsilas control policy show the effectiveness and feasibility of the proposed fuzzy control methods.