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Robust control of delayed Cohen–Grossberg neural networks
Author(s) -
Yu Wenwu
Publication year - 2008
Publication title -
international journal of adaptive control and signal processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.73
H-Index - 66
eISSN - 1099-1115
pISSN - 0890-6327
DOI - 10.1002/acs.963
Subject(s) - control theory (sociology) , artificial neural network , equilibrium point , exponential stability , computer science , control (management) , linear matrix inequality , lyapunov function , stability (learning theory) , mathematics , mathematical optimization , artificial intelligence , machine learning , differential equation , nonlinear system , mathematical analysis , physics , quantum mechanics
In this paper, robust control of Cohen–Grossberg neural networks with time delays is considered based on Lyapunov functional method and matrix inequality technique. Several new controllers with time delays and without time delays are designed to ensure the global asymptotic stability of equilibrium point, respectively. Finally, simulation examples are constructed to justify the proposed theoretical analysis. Copyright © 2007 John Wiley & Sons, Ltd.