| The theory of Fuzzy System has been widely used in the area of Fuzzy Control and got a brilliant record. In recent years, we focused on the research of nonlinear system with complicated uncertain, and Fuzzy Logic System (FLS), with its peculiar advantages, is considered one of the most powerful tools for this kind of problem .Analysis for nonlinear time series is very significant in comprehending the world we live in. Fuzzy System has its own superiority in the analysis for the nonlinear system with disordered and uncertain stochastic noise. By simulation, this paper studied the forecasting for a kind of chaos time series with stochastic noise, demonstrated the performance of Fuzzy System in this problem.Based on the theory of chaos and FLS, a direct robust adaptive fuzzy sliding mode control algorithm is presented for a class of SISO nonlinear systems with unknown nonlinear terms and external disturbances. The principles of the sliding mode are used to design the controller. Because of its only one adaptive parameter, the controller is easily to implement in industry. The simulation designed for Willis chaos system show the effectiveness of the control scheme. |
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