On the Global Dissipativity of a Class of Cellular Neural Networks with Multipantograph Delays. (30th November 2011)

• Record Type: Journal Article
• Authors: Zhou, Liqun
• Other Names: Huang Tingwen Academic Editor.
• Is Part Of: Advances in artificial neural systems. (2011)
• Publication Date: 2011-11-30
• Subjects: Neural networks (Computer science) -- Periodicals; Neural networks (Computer science); Periodicals; Electronic journals; 006.32
• DOI: 10.1155/2011/941426
• Languages: English
• ISSNs: 1687-7594

Abstract

Abstract : For the first time the global dissipativity of a class of cellular neural networks with multipantograph delays is studied. On the one hand, some delay-dependent sufficient conditions are obtained by directly constructing suitable Lyapunov functionals; on the other hand, firstly the transformation transforms the cellular neural networks with multipantograph delays into the cellular neural networks with constant delays and variable coefficients, and then constructing Lyapunov functionals, some delay-independent sufficient conditions are given. These new sufficient conditions can ensure global dissipativity together with their sets of attraction and can be applied to design global dissipative cellular neural networks with multipantograph delays and easily checked in practice by simple algebraic methods. An example is given to illustrate the correctness of the results.