基于神经网络的集散式模糊控制系统  

The fuzzy distribute fuzzy control systems based on neural networks

作　　者：张景元[1] 王江红[1] 郑兆青[1] 解红[1] 

机构地区：[1]淄博学院,山东淄博255091

出　　处：《淄博学院学报（自然科学与工程版）》2000年第4期16-19,共4页Journal of Zibo University(Natural Sciences and Engineering)

摘　　要：将神经网络技术和模糊控制技术有效的引入到集散控制系统中，并将三者有机的结合起来，使其成为一种智能型的集散控制系统 .该系统由一台神经网络处理机和多台现场模糊控制器构成，组态方便，自适应能力强，具有自学习和模糊控制规则基自校正能力，适于难以建立数学模型的复杂度高、时变因素多、惯性大的被控系统 .This paper introduced neural network technique and fuzzy control technique into distribute control systems, besides organic combined, make up of the intelligence model distribute control systems. The systems is composed of a neural network processor and much fuzzy controller, also configuration expedience and adapting capability better, besides has capability of the self－ learn and self－ emendation of fuzzy control rule. It is the same with systems of unable setup mathematical model and high complicated and mutative diathesis much and inertia big.

关 键 词：神经网络 模糊控制 集散系统 规则校正 

分 类 号：N55[自然科学总论]