Publication: Nonlinear Observer Design Using Automatic Differentiation
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Nonlinear Observer Design Using Automatic Differentiation

- incollection -
 

Area
Control

Author(s)
Klaus Röbenack , Kurt J. Reinschke

Published in
Automatic Differentiation of Algorithms: From Simulation to Optimization

Editor(s)
George Corliss, Christèle Faure, Andreas Griewank, Laurent Hascoët, Uwe Naumann

Year
2002

Publisher
Springer

Abstract
State feedback controllers are widely used in real-world applications. These controllers require the values of the state of the plant to be controlled. An observer can provide these values. For nonlinear systems there are some observer design methods which are based on differential geometric or differential algebraic concepts. The application to non-trivial systems is limited due to a burden of symbolic computations involved. The authors propose an observer design method using automatic differentiation.

Cross-References
Corliss2002ADo

AD Tools
ADOL-C

Related Applications
- Design of Nonlinear Controllers

BibTeX
@INCOLLECTION{
         Robenack2002NOD,
       author = "Klaus R{\"o}benack and Kurt J. Reinschke",
       title = "Nonlinear Observer Design Using Automatic Differentiation",
       pages = "137--142",
       chapter = "15",
       crossref = "Corliss2002ADo",
       booktitle = "Automatic Differentiation of Algorithms: From Simulation to Optimization",
       year = "2002",
       editor = "George Corliss and Christ{\`e}le Faure and Andreas Griewank and Laurent
         Hasco{\"e}t and Uwe Naumann",
       series = "Computer and Information Science",
       publisher = "Springer",
       address = "New York, NY",
       abstract = "State feedback controllers are widely used in real-world applications. These
         controllers require the values of the state of the plant to be controlled. An observer can provide
         these values. For nonlinear systems there are some observer design methods which are based on
         differential geometric or differential algebraic concepts. The application to non-trivial systems is
         limited due to a burden of symbolic computations involved. The authors propose an observer design
         method using automatic differentiation.",
       ad_area = "Control",
       ad_tools = "ADOL-C"
}


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