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IEEE Transactions on Automatic Control
Article . 1981 . Peer-reviewed
License: IEEE Copyright
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Analysis of descriptor systems using numerical algorithms

Authors: Sincovec, Richard F.; Erisman, Albert M.; Yip, Elizabeth L.; Epton, Michael A.;

Analysis of descriptor systems using numerical algorithms

Abstract

In this paper we analyze numerical methods for the solution of the large scale dynamical system E\dot{y}(t)=Ay(t)+g(t),Y(t_{0})=y_{0} , where E and A are matrices, possibly singular. Systems of this type have been referred to as implicit systems and more recently as descriptor systems since they arise from formulating system equations in physical variables. Special cases of such systems are algebraic-differential systems. We discuss the numerical advantages of this formulation and identify a class of numerical integration algorithms which have accuracy and stability properties appropriate to descriptor systems and which preserve structure, detect nonsolvable systems, resolve initial value consistency problems, and are applicable to "stiff" descriptor systems. We also present an algorithm for the control of the local truncation error on only the state variables.

Keywords

Large-scale systems, numerical integration algorithm, algebraic-differential systems, Numerical investigation of stability of solutions to ordinary differential equations, descriptor systems, Numerical methods for initial value problems involving ordinary differential equations, Computational methods in systems theory, Control/observation systems governed by ordinary differential equations, implicit systems

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
98
Top 10%
Top 0.1%
Top 10%
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