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Stability and Guaranteed Cost Analysis of Time-Triggered Boolean Networks

Authors :
Jun-e Feng
Min Meng
Kie Chung Cheung
James Lam
Source :
IEEE transactions on neural networks and learning systems. 29(8)
Publication Year :
2017

Abstract

This paper investigates stability and guaranteed cost of time-triggered Boolean networks (BNs) based on the semitensor product of matrices. The time triggering is generated by mode-dependent average dwell-time switching signals in the BNs. With the help of the copositive Lyapunov function, a sufficient condition is derived to ensure that the considered network is globally stable under a designed average dwell-time switching signal. Subsequently, an infinite time cost function is further discussed and its bound is presented according to the obtained stability result. Numerical examples are finally given to show the feasibility of the theoretical results.

Details

ISSN :
21622388
Volume :
29
Issue :
8
Database :
OpenAIRE
Journal :
IEEE transactions on neural networks and learning systems
Accession number :
edsair.doi.dedup.....81b4cd60e30c5ee568a915ddcfc6ff53