Robust Observers for a Class of Uncertainty Nonlinear Systems

被引：0

作者：

Yu, Wen ^{[1
]}

Li, Xiaoou ^{[2
]}

机构：

[1] CINVESTAV IPN, Dept Control Automat, Mexico City, DF, Mexico

[2] CINVESTAV IPN, Dept Computac, Mexico City, DF, Mexico

来源：

2013 IEEE 52ND ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC) | 2013年

关键词：

STATE-OBSERVATION; FEEDBACK; LINEARIZATION; TRACKING; DESIGN; ROBOTS;

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：

In this paper we propose a novel nonlinear observer for the nonlinear system with disturbances and unmodelled dynamics. This observer uses Luenberger structure, and the gain matrix is calculated by solving matrix optimization problem and an inverted solution of differential matrix Riccati equation. We successfully prove the observer error is robust with respect to bounded uncertainties

引用

页码：5078 / 5083

页数：6

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