采用DNA进化算法优化设计TS模糊控制器  

Optimal Design of TS Fuzzy Control System Based on DNA Evolutionary Algorithm

作　　者：翁妙凤[1] 

机构地区：[1]华东船舶工业学院计算机系,镇江212003

出　　处：《计算机科学》2003年第12期141-143,共3页Computer Science

摘　　要：1.引言 Takagi Sugeno(TS)模糊模型能够以任意精度逼近定义在紧致集上的非线性函数,其结论部分(后件)用线性局域方程取代了一推理过程中的常数.因此TS模型可用少量的模糊规则控制较复杂的非线性系统,在处理多变量系统时能有效地减少模糊规则数,引起人们的广泛的关注.The DNA evolutionary algorithm (DNA-EA)and the DNA genetic algorithm (DNA-GA) based on a new DNA encoding method are propsed based on the structure and the genetic mechanism of biological DNA. The DNA-EA and the DNA-GA are applied into the optimal design of TS fuzzy control system. The simulation results show the effectiveness of the two DNA algorithms, excellent self-learning capability. However, the DNA-EA is superior to the DNA-GA in the simulation performance.

关 键 词：模糊控制器 TS 优化设计 DNA 进化算法 神经网络 遗传算法 模糊控制系统 

分 类 号：TP273.4[自动化与计算机技术—检测技术与自动化装置]