Nonlinear Systems Using Fuzzy Approximators
نویسندگان
چکیده
This paper describes the design of an adaptive direct control scheme for a class of nonlinear systems. The architecture is based on a fuzzy inference system (FIS) of Takagi Sugeno (TS) type to approximate a feedback linearization control law. The parameters of the consequent part of the fuzzy system are adapted and changed according to a law derived using Lyapunov stability theory. The asymptotic Lyapunov stability will be established with the tracking errors converging to a neighborhood of the origin. Finally, the adaptive direct fuzzy controller is applied in simulation to control three nonlinear systems.
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