2010•Unpublished venueRequires access

Adaptive fuzzy control of a class of nonlinear time-delay systems with input nonlinearity

Shabnam Pourdehi, Dena Karimipour, Navid Noroozi, Fereidoon Shabaninia

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Abstract

In this paper a class of adaptive controller for a large class of nonlinear systems has been proposed in presence of uncertainties, input nonlinearities and unknown time-delay. Based on the combination of the sliding mode control (SMC) with fuzzy control, this paper presents a design algorithm to synthesize a robust fuzzy sliding mode controller. The unknown nonlinear functions have been approximated with fuzzy logic systems. Stability and robustness of this controller are analyzed in Lyapunov sense. Lyapunov-Krasovskii approach is employed to show that the corresponding closed-loop system is asymptotically stable. Finally, numerical example is given to show the effectiveness of the proposed technique.

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What this paper is about

In this paper a class of adaptive controller for a large class of nonlinear systems has been proposed in presence of uncertainties, input nonlinearities and unknown time-delay. Based on the combination of the sliding mode control (SMC) with fuzzy control, this paper presents a design algorithm to synthesize a robust fuzzy sliding mode controller. The unknown nonlinear functions have been approximated with fuzzy logic systems. Stability and robustness of this controller are analyzed in Lyapunov sense. Lyapunov-Krasovskii approach is employed to show that the corresponding closed-loop system is asymptotically stable. Finally, numerical example is given to show the effectiveness of the proposed technique.

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Available abstract

In this paper a class of adaptive controller for a large class of nonlinear systems has been proposed in presence of uncertainties, input nonlinearities and unknown time-delay. Based on the combination of the sliding mode control (SMC) with fuzzy control, this paper presents a design algorithm to synthesize a robust fuzzy sliding mode controller. The unknown nonlinear functions have been approximated with fuzzy logic systems. Stability and robustness of this controller are analyzed in Lyapunov sense. Lyapunov-Krasovskii approach is employed to show that the corresponding closed-loop system is asymptotically stable. Finally, numerical example is given to show the effectiveness of the proposed technique.

Key concepts: Control theory (sociology), Robustness (evolution), Fuzzy logic, Nonlinear system, Fuzzy control system, Sliding mode control, Robust control, Lyapunov function

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