Fuzzy identification of nonlinear parameters based on optimal control theory

被引:0
|
作者
Beijing Univ. of Posts and Telecommunications, Beijing 100876, China [1 ]
机构
来源
Xi Tong Cheng Yu Dian Zi Ji Shu/Syst Eng Electron | 2008年 / 3卷 / 540-543期
关键词
Nonlinear systems - Optimal control systems;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Time-varying physical parameters of structure joint have important value for structure dynamics characteristic research and applying in practical engineer, so, an identification method of time-varying nonlinear physical parameters of structure joint is presented. The dynamic mode of every substructure is used and the nonlinear force of structure joint is regarded as an input variable of the mode. The nonlinear force of structure joint is identified by using optimal control theorys and fuzzy math methods. The response of structure joint is computed by substructure methods. The nonlinear force is fitted by least square methods and time-varying physical parameters are computed. Simulation result shows that the method is effective.
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