基于模糊神经网络自适应控制研究  

Study on the Adaptive Control Basis of the Fuzzy Neural Network

作　　者：刘军[1] 孙发东[1] 白华煜[1] 

机构地区：[1]西安理工大学自动化与信息工程学院,西安710048

出　　处：《科学技术与工程》2005年第1期55-58,共4页Science Technology and Engineering

摘　　要：为了改善模糊神经网络控制系统的收敛速度,提出一种模糊神经网络自适应控制方案,在传统控制结构的基础上增加系统输出反馈网络,一方面使得控制量包含更多的系统动态信息,另一方面,也不至于增加模糊神经网络控制器的复杂度。仿真结果显示此种结构能够加快控制系统的收敛速度。In order to improve the convergence speed of the control system based on the fuzzy neural network, an adaptive control scheme of fuzzy neural network, which appends a network accepting the feedback of the system output on the basis of the traditional controlling structure is presented. On one hand, the controller includes more systematic transient information, on the other hand, it is unlikely to increase the complexity of the fuzzy neural network controller . The simulation result shows that this kind of structure can accelerate the speed of convergence of the control system.

关 键 词：模糊神经网络 收敛速度 BP算法 

分 类 号：TP273.22[自动化与计算机技术—检测技术与自动化装置]