Exponential Convergence for Cellular Neural Networks with Time-Varying Delays in the Leakage Terms | Zendy

Zhibin Chen | Zendy; Junxia Meng | Zendy

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Exponential Convergence for Cellular Neural Networks with Time-Varying Delays in the Leakage Terms

Author(s) -

Zhibin Chen,

Junxia Meng

Publication year - 2012

Publication title -

abstract and applied analysis

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.228

H-Index - 56

eISSN - 1687-0409

pISSN - 1085-3375

DOI - 10.1155/2012/941063

Subject(s) - mathematics , leakage (economics) , exponential growth , convergence (economics) , artificial neural network , class (philosophy) , control theory (sociology) , cellular neural network , exponential function , lyapunov function , exponential stability , computer science , mathematical analysis , nonlinear system , artificial intelligence , control (management) , physics , quantum mechanics , economics , macroeconomics , economic growth

We consider a class of cellular neural networks with time-varying delays in the leakage terms. By applying Lyapunov functional method and differentialinequality techniques, we establish new results to ensure that all solutions of the networksconverge exponentially to zero point

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