Sampled-data state-estimation of delayed complex-valued neural networks. Issue 2 (25th January 2020)

• Record Type: Journal Article
• Authors: Gunasekaran, Nallappan; Zhai, Guisheng
• Is Part Of: International journal of systems science. Volume 51:Issue 2(2020)
• Page Start: 303
• Page End: 312
• Publication Date: 2020-01-25
• Subjects: Complex-valued neural networks -- Lyapunov method -- integral inequality -- linear matrix inequality -- sampled-data control -- state-estimation; System analysis -- Periodicals; 003.3
• DOI: 10.1080/00207721.2019.1704095
• Languages: English
• ISSNs: 0020-7721

Abstract

Abstract : This paper studies the sampled-data state-estimation problem of delayed complex-valued neural networks (CVNNs). By using Lyapunov–Krasovskii functional (LKF), standard integral inequality together with the reciprocal convex approach, a delay-dependent condition is established in terms of the solution to linear matrix inequalities (LMIs) such that the consider CVNNs is asymptotically stable. As a result, an estimator gain matrix can be obtained through sampling instant. Finally, a simulation example is given to illustrate the theoretical analysis.