具有逆辨识结构的模糊神经网络控制及其应用

该文提出一种新型模糊神经网络结构及算法。在这种控制方案中，采用三层模糊神经网络控制器和神经网络逆辨识控制器相结合的结构。计算机仿真研究和实际应用表明，采用新型模糊神经网络控制方法，对大滞后非线性系统的控制是有效的。

Control and Application of the Fuzzy Neural Network with Inverse Identification Structure

The model reference adaptive control based on fuzzy neural network is generally adopted.Because the online adjusting of fuzzy neural network controller need neural network as error back propagation passageway,so the number of layers of the controller and identification is too big and it is easy to cause error back propagation uncertain,as a result,the reference of the controller can't be modified accurately.Besides,this method makes the controlled system long adjusting time and certain steady-state error.This paper proposes a new fuzzy neural network structure and algorithm.In this scheme it has the structure that combines a three-layer fuzzy neural network controller with neural network inverse identification controller.Computer simulation and actual application show that this scheme has effective control to larger time-delay nonlinear system.