Stability and Synchronization Control of Fractional-Order Gene Regulatory Network System with Delay
Author(s) -
Feng Liu,
Zhe Zhang,
Xinmei Wang,
Fenglan Sun
Publication year - 2017
Publication title -
journal of advanced computational intelligence and intelligent informatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.172
H-Index - 20
eISSN - 1343-0130
pISSN - 1883-8014
DOI - 10.20965/jaciii.2017.p0148
Subject(s) - synchronization (alternating current) , stability (learning theory) , computer science , control theory (sociology) , lyapunov stability , gene regulatory network , control (management) , order (exchange) , lyapunov function , gene , artificial intelligence , computer network , nonlinear system , biology , channel (broadcasting) , gene expression , biochemistry , finance , machine learning , economics , physics , quantum mechanics
This study investigated the stability and synchronization control of a fractional-order gene regulatory network system (GRNS). By applying the like-Lyapunov stability judgment method, the criteria of stability and synchronization control of a GRNS is determined. Further, the numerical simulation verifies the effectiveness of the method.
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