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

页码：1471 / 1476

页数：6

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