Neural network based nonlinear observers

DOI10.1016/j.sysconle.2020.104829zbMath1478.93220arXiv2003.07269OpenAlexW3117804527MaRDI QIDQ2242955

Tobias Breiten, Karl Kunisch

Publication date: 10 November 2021

Published in: Systems \& Control Letters (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2003.07269

zbMATH Keywords

Hamilton-Jacobi-Bellman equationneural networksobserver designminimum energy estimation

Mathematics Subject Classification ID

Nonlinear systems in control theory (93C10) Networked control (93B70) Observers (93B53)

Related Items (1)

Challenges in optimization with complex PDE-systems. Abstracts from the workshop held February 14--20, 2021 (hybrid meeting)

Cites Work

• Deterministic least squares filtering.
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• Infinite-Horizon Bilinear Optimal Control Problems: Sensitivity Analysis and Polynomial Feedback Laws
• A discrete-time optimal filtering approach for non-linear systems as a stable discretization of the Mortensen observer
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