Exponential synchronization of the switched uncertain neural networks with mixed delays based on sampled-data control. Issue 5 (March 2022)

• Record Type: Journal Article
• Authors: Ge, Chao; Liu, Xin; Hua, Changchun; Park, Ju H.
• Is Part Of: Journal of the Franklin Institute. Volume 359:Issue 5(2022)
• Page Start: 2259
• Page End: 2282
• Publication Date: 2022-03
• Subjects: Science -- Periodicals; Technology -- Periodicals; Patents -- United States -- Periodicals; 505
• DOI: 10.1016/j.jfranklin.2022.01.025
• Languages: English
• ISSNs: 0016-0032

Abstract

Abstract: The synchronization for a class of switched uncertain neural networks (NNs) with mixed delays and sampled-data control is researched in this paper. When a switching signal occurs in a sampling interval, the controller cannot switch until the next sampling instant. There is a mismatch between the system and the controller. Thus, we devise the control strategy to guarantee that the switched NNs can be synchronized. The proposed Lyapunov-Krasovskii functional (LKF) can make full use of system information. By use of an improved integral inequality, some sufficient stability conditions formed by linear matrix inequalities (LMIs) are derived for the synchronization of switched NNs. Average dwell time (ADT) is obtained as a form of inequality that includes the sampling interval. At last, the feasibility of the proposed method is proved by some numerical examples.