Neural Network Based Nonlinear Observers

Tobias Breiten; Karl Kunisch

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arXiv · 2003.07269

Neural Network Based Nonlinear Observers

Tobias Breiten·Karl Kunisch

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Abstract

Nonlinear observers based on the well-known concept of minimum energy estimation are discussed. The approach relies on an output injection operator determined by a Hamilton-Jacobi-Bellman equation and is subsequently approximated by a neural network. A suitable optimization problem allowing to learn the network parameters is proposed and numerically investigated for linear and nonlinear oscillators.

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BibTeX RIS

Tobias Breiten, Karl Kunisch. 2020-03-16. Neural Network Based Nonlinear Observers. https://arxiv.org/abs/2003.07269

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