Passivity analysis of uncertain neural networks with mixed time-varying delays View Full Text


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Article Info

DATE

2013-09

AUTHORS

O. M. Kwon, M. J. Park, Ju H. Park, S. M. Lee, E. J. Cha

ABSTRACT

This paper addresses the passivity problem for uncertain neural networks with both discrete and distributed time-varying delays. It is assumed that the parameter uncertainties are norm-bounded. By construction of an augmented Lyapunov–Krasovskii functional and utilization of zero equalities, improved passivity criteria for the networks are derived in terms of linear matrix inequalities (LMIs) via new approaches. Through three numerical examples, the effectiveness to enhance the feasible region of the proposed criteria is demonstrated. More... »

PAGES

2175-2189

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11071-013-0932-6

DOI

http://dx.doi.org/10.1007/s11071-013-0932-6

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1039180687


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