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Advances in Decision Sciences
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Advances in Decision Sciences
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Input and Output Passivity of Complex Dynamical Networks with General Topology

Input and output passivity of complex dynamical networks with general topology
descriptionPublicationkeyboard_double_arrow_right Article 30 Mar 2010 English Publisher:Scientific and Business WorldJournal:Advances in Decision Sciences, volume 2,010, pages 1-19 (issn: 2090-3359, eissn: 2090-3367, Copyright policy )
Authors: Jinliang Wang;

doi: 10.1155/2010/809481

Input and Output Passivity of Complex Dynamical Networks with General Topology

Abstract

The input passivity and output passivity are investigated for a generalized complex dynamical network, in which the coupling may be nonlinear, time-varying, and nonsymmetric. By constructing some suitable Lyapunov functionals, some input and output passivity criteria are derived in form of linear matrix inequalities (LMIs) for complex dynamical network. Finally, a numerical example and its simulation are given to illustrate the efficiency of the derived results.

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Keywords

Deterministic network models in operations research, Lyapunov functionals, linear matrix inequalities

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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!
0
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