COMPUTATIONALLY SIMPLE NEURAL NETWORK APPROACH TO DETERMINE PIECEWISE-LINEAR DYNAMICAL MODEL

被引：2
|
作者：
Dolezel, P. [1 ]
Heckenbergerova, J. [1 ]
机构：
[1] Univ Pardubice, Studentska 95, Pardubice, Czech Republic
来源：
NEURAL NETWORK WORLD | 2017年 / 27卷 / 04期
关键词：
artificial neural network; modeling; nonlinear systems; IDENTIFICATION;
D O I：
10.14311/NNW.2017.27.020
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The article introduces a new technique for nonlinear system modeling. This approach, in comparison to its alternatives, is straight and computationally undemanding. The article employs the fact that once a nonlinear problem is modeled by a piecewise-linear model, it can be solved by many efficient techniques. Thus, the result of introduced technique provides a set of linear equations. Each of the equations is valid in some region of state space and together, they approximate the whole nonlinear problem. The technique is comprehensively described and its advantages are demonstrated on an example.
引用
收藏
页码：351 / 371
页数：21
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