High-order sliding-mode observer for linear time-varying systems with unknown inputs

被引：22

作者：

Galvan-Guerra, R. ^{[1
]}

Fridman, L. ^{[1
]}

Davila, J. ^{[2
]}

机构：

[1] Univ Nacl Autonoma Mexico, Fac Engn, Div Elect Engn, Dept Control Engn & Robot, Mexico City 04510, DF, Mexico

[2] IPN, Sect Grad Studies & Res, ESIME UPT, Mexico City 07340, DF, Mexico

来源：

INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL | 2017年 / 27卷 / 14期

关键词：

sliding modes; nonlinear observers; uncertain systems; linear time-varying system; FAULT RECONSTRUCTION;

D O I：

10.1002/rnc.3698

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 article, an observer for linear time variant systems affected by unknown inputs is suggested. The proposed observer combines the deterministic least squares filter and the high-order sliding-mode differentiator to provide exact state reconstruction in spite of bounded unknown inputs and system instability. The cascade structure of the algorithm provides a correct state reconstruction for the class of linear time variant systems that satisfy the structural property of strong observability. Simulations illustrate the performance of the proposed algorithm. Copyright (c) 2016 John Wiley & Sons, Ltd.

引用

页码：2338 / 2356

页数：19

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