Fuzzy robust adaptive control for a class of nonlinear systems with time-delay
Gang Sun
Abstract
Gang Sun
Abstract
A fuzzy robust adaptive control design scheme is developed for a class of nonlinear systems represented by input-output models with unknown nonlinear function and un-modeled dynamics. The control gain of the nonlinear system is also uncertain. The control law and update laws are constructed by on-line approximating the unknown nonlinear functions. The Lyapunov method based stability analysis shows that all the signals in the closed-loop are stable. Finally,simulation results show the effectiveness of the proposed algorithm.
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A fuzzy robust adaptive control design scheme is developed for a class of nonlinear systems represented by input-output models with unknown nonlinear function and un-modeled dynamics. The control gain of the nonlinear system is also uncertain. The control law and update laws are constructed by on-line approximating the unknown nonlinear functions. The Lyapunov method based stability analysis shows that all the signals in the closed-loop are stable. Finally,simulation results show the effectiveness of the proposed algorithm.
Key concepts: Control theory (sociology), Nonlinear system, Lyapunov function, Fuzzy control system, Adaptive control, Fuzzy logic, Mathematics, Stability (learning theory)