SAMPLED-DATA STATE ESTIMATION FOR NEURAL NETWORKS WITH ADDITIVE TIME–VARYING DELAYS

• 作 者: M.SYED ALI N.GUNASEKARAN 曹进德
• 机 构: DepartmentofMathematics,DepartmentofMathematics,ResearchCenterforWindEnergySystems,SchoolofMathemati
• 出 处: 数学物理学报:B辑英文版
• 发表日期: 2019年1期
• 关键词: LYAPUNOV method linear matrix INEQUALITY state estimation sample-data control TI

In this paper, we consider the problem of delay-dependent stability for state estimation of neural networks with two additive time–varying delay components via sampleddata control. By constructing a suitable Lyapunov–Krasovskii functional with triple and