Data driven discovery of cyber physical systems
Discovery of hybrid dynamical models for real-world cyber-physical systems remains a challenge. This paper proposes a general framework for automating mechanistic modeling of hybrid dynamical systems from observed data with low computational complexity and noise resilience.
| Main Authors: | , , , , , , , |
|---|---|
| 格式: | 文件 |
| 语言: | English |
| 出版: |
Nature Portfolio
2019-10-01
|
| 丛编: | Nature Communications |
| 在线阅读: | https://doi.org/10.1038/s41467-019-12490-1 |
| _version_ | 1830207367192510464 |
|---|---|
| author | Ye Yuan Xiuchuan Tang Wei Zhou Wei Pan Xiuting Li Hai-Tao Zhang Han Ding Jorge Goncalves |
| author_facet | Ye Yuan Xiuchuan Tang Wei Zhou Wei Pan Xiuting Li Hai-Tao Zhang Han Ding Jorge Goncalves |
| author_sort | Ye Yuan |
| collection | DOAJ |
| description | Discovery of hybrid dynamical models for real-world cyber-physical systems remains a challenge. This paper proposes a general framework for automating mechanistic modeling of hybrid dynamical systems from observed data with low computational complexity and noise resilience. |
| first_indexed | 2024-12-18T04:29:57Z |
| format | Article |
| id | doaj.art-c7daebc20a2d4e6b8ab01d1077cfe84d |
| institution | Directory Open Access Journal |
| issn | 2041-1723 |
| language | English |
| last_indexed | 2024-12-18T04:29:57Z |
| publishDate | 2019-10-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Nature Communications |
| spelling | doaj.art-c7daebc20a2d4e6b8ab01d1077cfe84d2022-12-21T21:21:00ZengNature PortfolioNature Communications2041-17232019-10-011011910.1038/s41467-019-12490-1Data driven discovery of cyber physical systemsYe Yuan0Xiuchuan Tang1Wei Zhou2Wei Pan3Xiuting Li4Hai-Tao Zhang5Han Ding6Jorge Goncalves7School of Artificial Intelligence and Automation, Key Laboratory of Image Processing and Intelligent Control, Huazhong University of Science and TechnologySchool of Mechanical Science and Engineering, Huazhong University of Science and TechnologySchool of Artificial Intelligence and Automation, Key Laboratory of Image Processing and Intelligent Control, Huazhong University of Science and TechnologyDepartment of Cognitive Robotics, Delft University of TechnologySchool of Artificial Intelligence and Automation, Key Laboratory of Image Processing and Intelligent Control, Huazhong University of Science and TechnologySchool of Artificial Intelligence and Automation, Key Laboratory of Image Processing and Intelligent Control, Huazhong University of Science and TechnologyState Key Lab of Digital Manufacturing Equipment and Technology, Huazhong University of Science and TechnologySchool of Artificial Intelligence and Automation, Key Laboratory of Image Processing and Intelligent Control, Huazhong University of Science and TechnologyDiscovery of hybrid dynamical models for real-world cyber-physical systems remains a challenge. This paper proposes a general framework for automating mechanistic modeling of hybrid dynamical systems from observed data with low computational complexity and noise resilience.https://doi.org/10.1038/s41467-019-12490-1 |
| spellingShingle | Ye Yuan Xiuchuan Tang Wei Zhou Wei Pan Xiuting Li Hai-Tao Zhang Han Ding Jorge Goncalves Data driven discovery of cyber physical systems Nature Communications |
| title | Data driven discovery of cyber physical systems |
| title_full | Data driven discovery of cyber physical systems |
| title_fullStr | Data driven discovery of cyber physical systems |
| title_full_unstemmed | Data driven discovery of cyber physical systems |
| title_short | Data driven discovery of cyber physical systems |
| title_sort | data driven discovery of cyber physical systems |
| url | https://doi.org/10.1038/s41467-019-12490-1 |
| work_keys_str_mv | AT yeyuan datadrivendiscoveryofcyberphysicalsystems AT xiuchuantang datadrivendiscoveryofcyberphysicalsystems AT weizhou datadrivendiscoveryofcyberphysicalsystems AT weipan datadrivendiscoveryofcyberphysicalsystems AT xiutingli datadrivendiscoveryofcyberphysicalsystems AT haitaozhang datadrivendiscoveryofcyberphysicalsystems AT handing datadrivendiscoveryofcyberphysicalsystems AT jorgegoncalves datadrivendiscoveryofcyberphysicalsystems |