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Description of switched systems by implicit representations

Authors: Moisés E. Bonilla; Michel Malabre;

Description of switched systems by implicit representations

Abstract

This paper shows that a certain class of time-dependent, autonomous switched systems can also be studied using the structural concepts and properties of the linear time-invariant implicit systems theory. We first consider the modeling aspects, and then, the control aspects are tackled. This fact contributes to the enrichment of the switched systems theory and enlarges its action field. In Section I we specify a class of time-dependent, autonomous switched systems which enables us to describe systems with a variable internal structure. In Section II we show how to translate the considered class of time-dependent, autonomous switched systems into an implicit representation and then we recall some important results, of the implicit systems theory, which enable us to control them in such a way that they behave as a specified linear time-invariant system whatever be the position of the switches. In Section IV, we consider some reachability aspects. In Section V, we conclude.

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Powered by OpenAIRE graph
Found an issue? Give us feedback
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!
4
Average
Average
Top 10%
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