Existence and stability of anti-periodic solutions for FCNNs with time-varying delays and impulsive effects on time scales. (2018)

• Record Type: Journal Article
• Authors: Bao, Hongmei
• Is Part Of: International journal of computing science and mathematics. Volume 9:Number 5(2018)
• Page Start: 474
• Page End: 483
• Publication Date: 2018
• Subjects: anti-periodic solutions -- fuzzy cellular neural networks -- FCNNs -- impulsive effects -- time-varying delays -- time scales; Mathematics -- Periodicals; Computer science -- Periodicals; Mathematics -- Data processing -- Periodicals; 510.285
• Languages: English
• ISSNs: 1752-5055

Abstract

This paper deals with the existence and global exponential stability of anti-periodic solutions for fuzzy cellular neural networks (FCNNs) with time-varying delays and impulsive effects on time scales. Using the theory of coincidence degree, inequality technique and constructing some suitable Lyapunov functional, some sufficient conditions are obtained for the existence and global exponential stability of anti-periodic solutions for FCNNs with time-varying delays and impulsive effects on time scales. These results are less restrictive than those given in the earlier references. Moreover an example is provided to illustrate results obtained.