Hybrid State Estimation: Integrating Physics-Informed Neural Networks with Adaptive UKF for Dynamic Systems
This article belongs to the Special Issue Cyber-Physical Systems: Recent Developments and Emerging Trends
| Authors: | , |
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| Format: | article |
| Publication Date: | 2024 |
| Country: | España |
| Institution: | Universitat Politècnica de Catalunya (UPC) |
| Repository: | UPCommons. Portal del coneixement obert de la UPC |
| Language: | English |
| OAI Identifier: | oai:upcommons.upc.edu:2117/411789 |
| Online Access: | https://hdl.handle.net/2117/411789 https://dx.doi.org/10.3390/electronics13112208 |
| Access Level: | Open access |
| Keyword: | Neural networks (Computer science) Physics-Informed Neural Networks Unscented Kalman Filter (UKF) State estimation Simulació per ordinador Àrees temàtiques de la UPC::Informàtica::Aplicacions de la informàtica::Aplicacions informàtiques a la física i l‘enginyeria |
| Summary: | This article belongs to the Special Issue Cyber-Physical Systems: Recent Developments and Emerging Trends |
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