State bounding for time-delay impulsive and switching genetic regulatory networks with exogenous disturbance

Author:

Yan Jiayuan1,Zhang Ding-Xue2,Hu Bin1,Guan Zhi-Hong1,Cheng Xin-Ming3

Affiliation:

1. School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China

2. School of Petroleum Engineering, Yangtze University, Jingzhou, Hubei 434023, China

3. School of Automation, Central South University, Changsha, Hunan 410000, China

Abstract

<p style='text-indent:20px;'>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.</p>

Publisher

American Institute of Mathematical Sciences (AIMS)

Subject

Applied Mathematics,Discrete Mathematics and Combinatorics,Analysis

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