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Fuzzy adaptive control method for uncertain nonlinear systems with time-delay is introduced in this paper, which can be represented by Takagi-Sugeno (T-S) fuzzy models. The state feedback approach is considered. By introducing a new Lyapunov-Krasovskii functional with adjustable parameters, and based on delay-dependent stability analysis, some sufficient conditions for the existence of state feedback...
The problem of adaptive robust control for uncertain nonlinear systems with time-varying delay is considered in this paper. The upper bound of the uncertainty is assumed to be nonlinear functions with unknown coefficients. By using adaptive control method, a class of adaptive robust state feedback controller is proposed. Based on Lyapunov-Krasovskii method and Lyapunov stability theory, it is shown...
This brief proposes a simple control approach for a class of uncertain nonlinear systems with unknown time delays in strict-feedback form. That is, the dynamic surface control technique, which can solve the ldquoexplosion of complexityrdquo problem in the backstepping design procedure, is extended to nonlinear systems with unknown time delays. The unknown time-delay effects are removed by using appropriate...
This paper addresses the problem of adaptive fuzzy integral sliding mode control (AFISMC) for uncertain nonlinear systems with state and input delays. First, we employ a state-transformation to map the nonlinear system into an input-delay free system. Then, an adaptive fuzzy technique is applied to estimate the bound of the lumped perturbation. Finally, based on Lyapunov stability theorem, a controller...
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