Stability and Guaranteed Cost Analysis of Time-Triggered Boolean Networks.

Meng, Min; Lam, James; Feng, Jun-E; Cheung, Kie Chung · IEEE Trans Neural Netw Learn Syst · 2018

basic_science · Level V

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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.