神经模糊控制在非线性时滞不确定性系统中的应用研究

The study of application of fuzzy control with neural networks in the time lag and non-fixed nonlinear system

针对时滞不确定非线性系统的控制问题 ,讨论了一种基于史密斯预估补偿控制结构的模糊控制与人工神经网络相结合的自优化控制方法。仿真分析表明它对时滞非线性时变对象具有良好的控制效果。

In this paper, a self-optimizing control method based on the Smith prediction control structure is presented for the control problem of time lag, non-fixed and nonlinear system. It combines the fuzzy control with artificial neural networks. It is showed by simulation results that this method is good for time lag, nonlinear time-variant plants.