控制理论(社会学)
同步(交流)
区间(图论)
人工神经网络
计算机科学
跳跃的
二次方程
控制器(灌溉)
李雅普诺夫函数
马尔可夫过程
数学
控制(管理)
非线性系统
人工智能
统计
组合数学
频道(广播)
物理
几何学
生物
量子力学
生理学
计算机网络
农学
作者
Tao Wu,Jinde Cao,Lianglin Xiong,Haiyang Zhang,Jinlong Shu
标识
DOI:10.1016/j.amc.2021.126604
摘要
This paper investigates the sampled-data synchronization issue of Markovian jumping neural networks with additive time-varying delays. Firstly, a ternary quadratic function negative-determination condition and the bilateral sampled-interval-related Lyapunov functional (BSIRLF) approach are proposed. Based on the developed two novel approaches, some new criteria based on the linear matrix inequalities (LMIs) are established to guarantee the drive-response stochastic sampled-data synchronization of Markovian jumping neural networks with additive time-varying delays. Meanwhile, the corresponding sampled-data controller gains are designed under the larger sampling interval. In the end, the availability and merits of the developed approaches are displayed via two simulative examples.
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