Continuous-time system identification with neural networks: model structures and fitting criteria

3 Jun 2020 Marco Forgione Dario Piga

This paper presents tailor-made neural model structures and two custom fitting criteria for learning dynamical systems. The proposed framework is based on a representation of the system behavior in terms of continuous-time state-space models... (read more)

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