Multivariable Super-Twisting Algorithm for a Class of Systems with Uncertain Input Matrix

被引：0

作者：

Vidal, Paulo V. N. M. ^{[1
]}

Nunes, Eduardo V. L. ^{[1
]}

Hsu, Liu ^{[1
]}

机构：

[1] Univ Fed Rio de Janeiro, COPPE, BR-21941901 Rio De Janeiro, RJ, Brazil

来源：

2016 AMERICAN CONTROL CONFERENCE (ACC) | 2016年

关键词：

Super-twisting algorithm; higher-order sliding modes; multivariable control; uncertain systems; SLIDING MODE CONTROL; ORDER; DIFFERENTIATION;

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 new design for a multivariable Super-Twisting Algorithm, which does not require the exact knowledge of the system input matrix. In addition, by means of a nonlinear (state-dependent) time scaling we propose a new algorithm with variable gains which is able to present global stability properties for wider class of nonlinear disturbances. The latter can be analysed using the same theoretical framework as in the case of constant gains. The theoretical results are illustrated by simulations.

引用

页码：7201 / 7206

页数：6

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