Recursive least square approximation using monotonic fuzzy systems

被引：0
|
作者：
Husek, Petr [1 ]
机构：
[1] Czech Tech Univ, Fac Elect Engn, Dept Control Engn, Tech 2, Prague 16627 6, Czech Republic
来源：
2016 IEEE INTERNATIONAL SYMPOSIUM ON INTELLIGENT CONTROL (ISIC) | 2016年
关键词：
Monotonic fuzzy system; Fuzzy model identification; Recursive algorithms;
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：
Recursive least squares algorithms for approximation of a multivariate nonlinear function by a fuzzy system guaranteeing monotonicity of the corresponding mapping with respect to individual inputs are presented in this paper. Since the exact solution suffers from high computationally complexity two approximating solutions are presented as well. Two illustrative examples are given to compare the algorithms and to demonstrate the benefit of fuzzy systems preserving monotonicity.
引用
收藏
页码：693 / 698
页数：6
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