Author： Lou Xuyang Cui Baotong
Publisher： Inderscience Publishers
ISSN： 1746-6172
Source： International Journal of Modelling, Identification and Control, Vol.3, Iss.4, 2008-09, pp. : 385-391
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Abstract
This paper discusses the problem of exponential synchronisation for a class of chaotic neural networks which covers the Hopfield neural networks and cellular neural networks with distributed delays. Through the Lyapunov functional method and Hermitian matrices theory, a feedback control law is derived and its feedback gain matrix is designed to satisfy a certain Hamiltonian matrix without eigenvalues on the imaginary axis instead of directly solving an algebraic Riccati equation. Our results have been shown to be more extensive, less restrictive and easier to verify than those reported previously, which prepares the path for further research about synchronisation of delayed neural networks.
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