System Identification for Hybrid Systems using Neural Networks

2019/11/28 by Mattias Fält, Fält, Mattias, Pontus Giselsson +1 · 1 voice
Computer Science · Engineering · #Control Systems and Identification #Fault Detection and Control Systems #Neural Networks and Applications #math.OC

paper · pdf · doi:10.48550/arxiv.1911.12663

openalex publication_date 2019/11/28 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

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.

Citations

• Julia: A Fresh Approach to Numerical Computing

Discussions

• System Identification for Hybrid Systems Using Neural Networks [hn, 7 points, 0 comments]

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