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In this paper, a nonlinear control system using a fuzzy self tuning Grey predictor based on a PID controller is proposed. Firstly, the PID controller is designed according to the Zieger-Nichos 2 method with fast response and high robustness. Secondly, the grey predictor is suggested to use to estimate the system response in a near future in order to improve the control performance. In addition, the...
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...
Addressing to the difficulties in PID parameter tuning, low accuracy in temperature controlling and the dissatisfaction in high exactitude extrusion processing of the present PID controllers, a new kind of PID controller based on RBF neural network is proposed. It can not only obtain a higher accuracy in temperature controlling, but also infinitely approach the nonlinear system with quicker and more...
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