Optimal H synchronization of general discrete-time delayed chaotic neural networks via dynamic output feedback

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Abstract

This paper deals with robust H synchronization of general discrete-time chaotic neural networks with external disturbance. This general discrete-time model, which is the interconnection of a linear delayed dynamic system and a bounded static nonlinear operator, covers not only several well-known discrete-time delayed neural networks, such as Hopfield neural networks, cellular neural networks (CNNs), bidirectional associative memory (BAM) networks, and recurrent multilayer perceptrons (RMLPs), but also Lur'e systems. Based on Lyapunov stability and H control theories, dynamic output feedback controllers are established to not only guarantee exponentially stable synchronization of both master and slave systems with time delays, but also reduce the effect of external disturbance to an H -norm constraint. Furthermore, two classes of optimal controllers are presented, one minimizing the H-norm bound, the other maximizing the exponential synchronization rate. The control design equations are shown to be a set of linear matrix inequality (LMI) standard problems which can be easily solved by various convex optimization algorithms to determine the optimal H control laws and the optimal exponential synchronization rates.

Original languageEnglish
Title of host publicationProceedings of the 48th IEEE Conference on Decision and Control held jointly with 2009 28th Chinese Control Conference, CDC/CCC 2009
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages6744-6749
Number of pages6
ISBN (Print)9781424438716
DOIs
StatePublished - 2009
Externally publishedYes
Event48th IEEE Conference on Decision and Control held jointly with 2009 28th Chinese Control Conference, CDC/CCC 2009 - Shanghai, China
Duration: 15 Dec 200918 Dec 2009

Publication series

NameProceedings of the IEEE Conference on Decision and Control
ISSN (Print)0743-1546
ISSN (Electronic)2576-2370

Conference

Conference48th IEEE Conference on Decision and Control held jointly with 2009 28th Chinese Control Conference, CDC/CCC 2009
Country/TerritoryChina
CityShanghai
Period15/12/0918/12/09

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