Computation of high-gain observers for nonlinear systems using automatic differentiation

被引：3

作者：

Röbenack, K ^{[1
]}

机构：

[1] Tech Univ Dresden, Fak Elektrotechn & Informat Techn, Inst Regelungs & Steuerungstheorie, D-01062 Dresden, Germany

来源：

JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASME | 2005年 / 127卷 / 01期

关键词：

D O I：

10.1115/1.1870048

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The design of high-gain observers using the observability canonical form is reviewed. Up to the present, gradients of Lie derivatives required by the design algorithms have been computed symbolically. A symbolic computation of the observer gain yields quite often extremely large expressions, even for systems of moderate dimension and complexity We show how automatic differentiation may be used to compute the observer gain.

引用

页码：160 / 162

页数：3

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