摘要
介绍Model on Demand(MOD)方法的具体建模过程,并在此基础上做出仿真.结果表明在辨识非线性系统时,相对于传统的全局建模方法,MOD方法可以取得很好的辨识效果,是一种非常有效的非参数局部建模方法.
Model-on-Demand(MOD) is a useful local modeling methodology for nonlinear process systems, in particular, on the situation that very large datasets are available. In this thesis we have introduced the theory of the MOD philosophy,then given some examples of simulation. It has been demonstrated on the nonlinear process case study that the MOD approach provides good performance rivaling that of classical global methods. It is a very useful nonparametric local modeling method.
出处
《沈阳化工学院学报》
2004年第3期213-215,共3页
Journal of Shenyang Institute of Chemical Technolgy
关键词
非线性模型辨识
局部建模
系统仿真
nonlinear model identification
local modeling
system simulation
