Higher relative degree nonlinear systems with ILC using lower-order differentiation's

Mingxuan Sun; Danwei Wang

首页> 外文期刊>Asian Journal of Control: Affiliated with ACPA, the Asian Control Professors' Association >Higher relative degree nonlinear systems with ILC using lower-order differentiation's

【24h】

Higher relative degree nonlinear systems with ILC using lower-order differentiation's

机译：Higher relative degree nonlinear systems with ILC using lower-order differentiation's

获取原文

获取原文并翻译 | 示例

掌桥外文数据库（机构版） >>

开具论文收录证明 >>

文献代查 >>

页面导航

摘要
著录项
相关主题

摘要

This paper addresses the problem of iterative learning control (ILC) for a class of nonlinear continuous-time systems with higher relative degree. The proposed ILC solution is a family of updating laws using differentiations of tracking error with the order less than the system relative degree. A unified convergence condition for this family of ILC updating laws is provided and proved to be independent of the highest order of differentiation. The application to path tracking of a robotic manipulator is presented to illustrate the effectiveness of the proposed method.

著录项

来源
《Asian Journal of Control: Affiliated with ACPA, the Asian Control Professors' Association》 |2002年第1期|38-48|共11页
作者
Mingxuan Sun; Danwei Wang;
展开▼
作者单位

Department of Applied Physics and Advanced Technologies (FATA), National Autonomous University of Mexico, A.P. 1-1010, Queretaro, Qro. 67000, Mexico;

展开▼
收录信息
原文格式 PDF
正文语种英语
中图分类自动控制理论;
关键词
Iterative learning control; Convergence; Robustness; Relative degree; Nonlinear systems;

Higher relative degree nonlinear systems with ILC using lower-order differentiation's

摘要

著录项

相关主题

期刊订阅