A Robust Adaptive Observer for Nonlinear Systems with Unknown Inputs and Disturbances

被引：2

作者：

Dimassi, Habib ^{[1
]}

Loria, Antonio ^{[1
]}

Belghith, Safya ^{[2
]}

机构：

[1] LSS Supelec, CNRS, 3 Rue Joliot Curie, F-91192 Gif Sur Yvette, France

[2] Ecol Natl Ingenieurs, Tunis, Tunisia

来源：

49TH IEEE CONFERENCE ON DECISION AND CONTROL (CDC) | 2010年

关键词：

FULL-ORDER; SYNCHRONIZATION;

D O I：

10.1109/CDC.2010.5717678

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

We present a simple robust adaptive observer for systems with unknown inputs. The class of systems includes partially linear systems with differentiable non-linearities provided that the solutions are bounded (the bound is unknown). Parametric uncertainty and additive disturbances are considered where the parameters are piece-wise constant. It is also assumed that measurable outputs are corrupted by noise. We show under certain necessary and sufficient conditions convergence of the estimation errors.

引用

页码：2602 / 2607

页数：6

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