Tracking Control of a Nonholonomic Mobile Robot Using a Fuzzy-Based Approach
This paper investigates the tracking problem of nonholonomic mobile robots. A control structure combining a kinematic controller and a dynamic controller based on nonlinear feedback control plus fuzzy compensator is presented. The fuzzy compensator, whose parameters are tuned on-line, is employed to approximate the total uncertainty including the structured and unstructured uncertainties due to the universal approximation property of fuzzy logic systems. The stability of the proposed approach is guaranteed by the Lyapunov theory. Simulation results show the efficiency of the proposed approach.
KeywordsMobile Robot Nonholonomic System Fuzzy Logic System Dynamic Controller Wavelet Network
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