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This paper addresses the robust fuzzy control problem for nonlinear multiple time-delay large-scale systems in the presence of modeling errors and the state variables unavailable for measurement. The Takagi-Sugeno (T-S) fuzzy control system with modeling errors is adopted for modeling the nonlinear multiple time-delay large-scale systems and establishing fuzzy state observer. In terms of Lyapunovpsilas...
In this paper, an adaptive control algorithm is developed for a class of nonlinear systems with unknown time-delays based on the approximation property of the fuzzy systems. The systems considered in the paper are in non-affine pure-feedback structure. The existing research result is expanded. This algorithm guarantees that all the signals in the closed-loop system are uniformly bounded and the tracking...
In this paper, robust output-feedback stabilization is presented for a class of uncertain stochastic nonlinear systems with time-varying time delays. First, the conditions of existence and uniqueness of the solution process are provided and two new stability notions are introduced for stochastic time-delay systems. Based on these preparations, for a class of uncertain stochastic nonlinear systems...
In order to achieve effectiveness and high control performance of complex processes with large time delay, a predictive fuzzy control method based on grey model is proposed in this paper. By employing grey predictive model, a two-dimensional predictive fuzzy controller is constructed. Its input variables are predictive error and predictive error rate. Fuzzy decision making mechanism according to present...
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