title: Exponential stability of discrete-time genetic regulatory networks with delays.
abstract: Discrete-time versions of the continuous-time genetic regulatory networks (GRNs) with SUM regulatory functions are formulated and studied in this letter. Sufficient conditions are derived to ensure the global exponential stability of the discrete-time GRNs with delays. An illustrative example is given to demonstrate the effectiveness of the obtained results.
authors.affiliation: Department of Mathematics, Southeast University, Nanjing 210096, China. jdcao@seu.edu.cn
authors.forename: Jinde
authors.initials: J
authors.lastname: Cao
authors.forename: Fengli
authors.initials: F
authors.lastname: Ren
mesh_terms: D000818:Animals; D053263:Gene Regulatory Networks; D006801:Humans; D016571:Neural Networks, Computer; D009716:Numerical Analysis, Computer-Assisted; D010363:Pattern Recognition, Automated; D013997:Time Factors