Open AccessState bounding for time-delay impulsive and switching genetic regulatory networks with exogenous disturbance
Author(s) -
Jiayuan Yan,
Ding-Xue Zhang,
Bin Hu,
ZhiHong Guan,
Ximing Cheng
Publication year - 2022
Publication title -
discrete and continuous dynamical systems. series s
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.481
H-Index - 34
eISSN - 1937-1632
pISSN - 1937-1179
DOI - 10.3934/dcdss.2022004
Subject(s) - bounding overwatch , dwell time , control theory (sociology) , state (computer science) , disturbance (geology) , stability (learning theory) , mathematics , exponential stability , state dependent , computer science , control (management) , mathematical economics , algorithm , physics , artificial intelligence , biology , clinical psychology , paleontology , nonlinear system , quantum mechanics , machine learning , medicine
This paper focuses on the state bounding problem for the time-delay impulsive and switching genetic regulatory networks (ISGRNs) with exogenous disturbances. Firstly, a sufficient criterion for the state bounding is obtained such that all the trajectories of ISGRNs under consideration converge exponentially into a sphere on the basis of an average dwell time (ADT) switching. Besides, globally exponential stability conditions for the considered system are further stated when the exogenous disturbance vanishes. As a special case, the equivalent state bounding criteria are established by using the properties of some special matrices when there exist no impulses at the switching instants in ISGRNs. Finally, an illustrating example is given to demonstrate the derived results. Compared with the existing literatures, the considered genetic regulatory networks (GRNs) have more general structure and the approach adopted in the present paper is more simple than Lyapunov-Krasovskii functional (LKF) approach.