一类高精度非线性系统参数和阶次辨识的浮点遗传算法  

AN HIGH PRECISION FLOATING GENETIC ALGORITHM FOR NONLINEAR SYSTEM PARAMETER AND ORDER IDENTIFICATION

作　　者：欧松[1] 钟慕良[1] 徐建闽[1] 周其节[1] 

机构地区：[1]华南理工大学自动化系

出　　处：《华南理工大学学报（自然科学版）》1997年第12期94-99,共6页Journal of South China University of Technology(Natural Science Edition)

摘　　要：本文给出一种基于浮点操作的具有遗传算法机制的迭代启发式随机搜索算法。该算法同随机逼近算法相结合对非线性系统的参数和阶次的辨识结果表明，具有精度高和收敛性好等特点。In this paper, a randomized searching algorithm based on floating genetic algorithm operator mechanism is investigated. The algorithm is integrated with the randomized approximate method. The algorithm has been applied to the nonlinear system parameter and order identification. It shows by computer simulations that the algorithms have high precision and rapid convergence.

关 键 词：浮点遗传算法 非线性系统 系统辨识 

分 类 号：TB18[一般工业技术]