Abstract
The paper addresses the dynamical properties of large-scale perturbed nonlinear systems of the Hopfield type with feedback. In particular, it focuses on the hyperstability of the equilibria of the system. It proceeds to examine the effect of the empirical balanced truncation model reduction technique on the hyperstability properties. Finally, estimates of the additional conditions for preserving hyperstability when perturbations are present are derived.
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Condon, M., Grahovski, G.G. (2010). On Model Order Reduction of Perturbed Nonlinear Neural Networks with Feedback. In: Roos, J., Costa, L. (eds) Scientific Computing in Electrical Engineering SCEE 2008. Mathematics in Industry(), vol 14. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12294-1_71
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DOI: https://doi.org/10.1007/978-3-642-12294-1_71
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Online ISBN: 978-3-642-12294-1
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