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Số ra Số 6/2020 EN 
Tên bài báo EXPONENTIAL STABILITY OF A CLASS OF POSITIVE NONLINEAR SYSTEMS WITH MULTIPLE TIME-VARYING DELAYS 
Tóm tắt This paper is concerned with the problem of exponential stability of a class of positive nonlinear systems with heterogeneous time-varying delays which describe a model of Hopfield neural networks with nonlinear self-inhibition rates. Based on a novel comparison technique via a differential and integral inequalities, testable conditions are derived to ensure system state trajectories converge exponentially to a unique positive equilibrium. The effectiveness of the obtained results is illustrated by a numerical example.  
Tác giả Le Thi Hong Dung 
Mã phân loại DOI: 10.18173/2354-1059.2020-0023 
Chuyên ngành . 
Từ khoá neural networks, positive equilibrium, exponential stability, time-varying delay, M-matrix 
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