Exponential Stability of Neutral-Type Cohen-Grossberg Neural Networks With Multiple Time-Varying Delays
نویسندگان
چکیده
منابع مشابه
On Global Exponential Stability of Generalized Cohen-grossberg Neural Networks with Time-varying Delays
In this paper, a generalized model of Cohen-Grossberg neural networks with time-varying delays is investigated. By employing the nonlinear measure approach, analytic methods, inequality technique and M-matrix theory, some sufficient conditions ensuring the existence, uniqueness and global exponential stability of equilibrium point for Cohen-Grossberg neural networks with timevarying delays are ...
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Xinyuan Liang College of Computer Science Chongqing Technology and Business University Chongqing , P R China [email protected] Tian Wang College of Computer Science Chongqing Technology and Business University Chongqing , P R China [email protected] Zhengxia Wang School of Science Chongqing Jiaotong University Chongqing , P R China [email protected] Haixia Wu Department of Computer and Modern Educati...
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and Applied Analysis 3 In the light of (H1)–(H4), it is easy to see that problems (1)-(2) admit an equilibrium point u = 0. Definition 1. The equilibrium point u = 0 of problems (1)(2) is said to be globally exponentially stable if there exist constants κ > 0 andM ≥ 1 such that u (t, x; t0, φ) Ω ≤ M φ Ω e −κ(t−t 0 ) , t ≥ t 0 , (10) where ‖φ‖ 2 Ω = sup t 0 −τ≤s≤t 0 ∑ n i=1 ∫ Ω φ...
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ژورنال
عنوان ژورنال: IEEE Access
سال: 2021
ISSN: 2169-3536
DOI: 10.1109/access.2021.3068191