摘要
针对混杂系统理论和方法尚不能处理不确定性以及意外事件的发生等问题,将已有的智能理论和混杂系统理论进行有机结合,是一项有效的解决途径。在分析自动化装配中连续和离散变量组成混杂系统基础上,提出了集成装配计划和调度的一类智能混杂系统,给出了智能决策接口以及和智能技术的互连,分析了基于模糊神经网络和粗糙集的智能解决策略,使一类混杂系统具有智能决策功能。通过对一自动化装配实例建立极大代数模型和神经网络的仿真实验,验证了系统分析方法的可行性和有效性。
Considering hybrid system theory and method not sufficient enough to cope with unexpected events and uncertainties, the combination of intelligent theories with hybrid system theories can produce an effective solution. On the basis of analyzing the continuous and discrete parts in automatic assembly, a class of intelligent hybrid systems that integrate planning with scheduling in assembly is proposed. Intelligent decision interface and interconnection with intelligent techniques are given. Intelligent solution strategies based on fuzzy-neural network and rough set are analyzed, endowing a class of hybrid systems with intelligent decision ability. The feasibility and efficacy of the analyzing method are illustrated through the construction of a max-plus algebra model and simulation of neural network of an automatic assembly case.
出处
《计算机工程》
CAS
CSCD
北大核心
2007年第11期31-33,共3页
Computer Engineering
基金
中德政府合作数字化工厂基金资助项目(2002DFG00027)
关键词
智能混杂系统
装配
模糊神经网络
粗糙集
极大代数
Intelligent hybrid systems
Assembly
Fuzzy-neural network
Rough set
Max-plus algebra
作者简介
程曙（1967-），女，高工、博士，主研方向：混杂系统理论及其在制造领域的应用等；E-mail：scheng@mail．tongji．edu．cn
张浩，博士、教授
马玉敏，博士、讲师
赵荣泳，博士、讲师
