Synchronization for a Fuzzy Cellular Neural Networks with Mixed Time Delays. Issue 1 (March 2020)

• Record Type: Journal Article
• Authors: Halik, Azhar; Mahemuti, Rouzimaimaiti
• Is Part Of: IOP conference series. Volume 790:Issue 1(2020)
• Publication Date: 2020-03
• Subjects: Fuzzy cellular neural network -- General decay synchronization -- General activation functions -- Mixed Time delay; Materials science -- Periodicals; 620.1105
• DOI: 10.1088/1757-899X/790/1/012140
• Languages: English
• ISSNs: 1757-8981

Abstract

Abstract: This paper investigates the general decay synchronization (GDS) for fuzzy cellular neural networks (FCNNs). Compared with previous research results, constant time delays and distributed time delays are taken into consideration. By using the Lyapunov function method and some inequality techniques, several sufficient conditions are derived on the GDS for FCNNs. Ultimately, a numerical example is also carried out to validate the practicability and feasibility of our proposed results.