System Identification for Hybrid Systems using Neural Networks

Mattias Fält; Pontus Giselsson

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arXiv · 1911.12663

System Identification for Hybrid Systems using Neural Networks

Mattias Fält·Pontus Giselsson

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Abstract

With new advances in machine learning and in particular powerful learning libraries, we illustrate some of the new possibilities they enable in terms of nonlinear system identification. For a large class of hybrid systems, we explain how these tools allow for identification of complex dynamics using neural networks. We illustrate the method by examining the performance on a quad-rotor example.

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Mattias Fält, Pontus Giselsson. 2019-11-28. System Identification for Hybrid Systems using Neural Networks. https://arxiv.org/abs/1911.12663

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