A Conception of Solving Non-linear Identification Problems in Intelligent Control Systems

被引：0
|
作者：
Chernyshov, K. R. [1 ]
机构：
[1] Russian Acad Sci, VA Trapeznikov Inst Control Sci, Moscow, Russia
来源：
PROCEEDINGS OF THE 2017 12TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA) | 2017年
关键词：
Identification algorithms; Intelligent control systems; Hammerstein models; Nonlinear systems; LOCAL-AREA-NETWORKS; EXPERT-SYSTEM; ARTIFICIAL-INTELLIGENCE; ADAPTIVE-CONTROL; FAULT-DIAGNOSIS; KNOWLEDGE; SIMULATION; MODEL; INFORMATION; MACHINES;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The present paper provides theoretical foundations of a nonparametric system identification technique to obtain estimates of system characteristics involving both non-linear transformation and system order. The main presentation is preceded with a survey and analysis of available approaches concerned with intelligent control systems techniques.
引用
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页码：1471 / 1476
页数：6
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