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Intelligence control of nonlinear systems based on Matlab simulation and the real-time control platform

Aiming at the long time delay and nonlinear control of a liquid level system, the paper proposes an intelligent control strategy using a RBF network for object prediction and a self-adaptive fuzzy control algorithm for control. Using Matlab simulation and its dynamic data exchange function, we realize the effective control of the liquid level system. The result shows that this strategy is robust, anti-disturbance and effective for system control.