December 30, 2002

Continuous time modeling of nonlinear systems: a neural network-based approach

RRRamiro Rico-Martı́nezTechnological Institute of Celaya IKI.G. KevrekidisJohns Hopkins University

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Abstract

A neural network-based approach for continuous-time modeling of nonlinear systems is presented. The approach is based on an implicit integrator and recurrent networks. The resulting continuous-time model (a set of ordinary differential equations) is capable of correctly capturing the long term attractors of the system.>

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Rico-Martı́nez et al. (Mon,) studied this question.

synapsesocial.com/papers/6a0dea2788250cfcc2a53c5b https://doi.org/https://doi.org/10.1109/icnn.1993.298782

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