| Presentation | 2020-01-27 Neural ordinary differential equations-based static output feedback stabilization Koki Kobayashi, Masaki Ogura, Masako Kishida, Wadayama Tadashi, Kenji Sugimoto, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | The static output-feedback stabilization problem is one of the basic controller synthesis problem in the systems and control theory． However, the problem reduces to a non-convex and nonlinear optimization problem and, therefore, is known to be difficult to solve． In this paper, we propose a data-driven methodology to design the feedback gain by using a deep-learning technique called Neural Ordinary Differential Equations． We compare the proposed method with a conventional and standard one in the literature based on linear matrix inequalities (LMIs)．We observe that the proposed method outperforms the existing methodology, thereby confirming the effectiveness of the proposed method. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Linear systems / static output feedback / stabilization / deep learning |
| Paper # | RCC2019-73 |
| Date of Issue | 2020-01-20 (RCC) |
| Conference Information | |
| Committee | RCC |
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| Conference Date | 2020/1/27(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Reliable Communication and Control, etc. |
| Chair | Kazunori Hayashi(Osaka City Univ.) |
| Vice Chair | Shunichi Azuma(Nagoya Univ.) / HUAN-BANG LI(NICT) |
| Secretary | Shunichi Azuma(Kagawa Univ.) / HUAN-BANG LI(Osaka Univ.) |
| Assistant | Toshinori Kagawa(NICT) / Masaki Ogura(Osaka University) |
| Paper Information | |
| Registration To | Technical Committee on Reliable Communication and Control |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Neural ordinary differential equations-based static output feedback stabilization |
| Sub Title (in English) | |
| Keyword(1) | Linear systems |
| Keyword(2) | static output feedback |
| Keyword(3) | stabilization |
| Keyword(4) | deep learning |
| 1st Author's Name | Koki Kobayashi |
| 1st Author's Affiliation | Nara Institute of Science and Technology(NAIST) |
| 2nd Author's Name | Masaki Ogura |
| 2nd Author's Affiliation | Osaka University(Osaka Univ) |
| 3rd Author's Name | Masako Kishida |
| 3rd Author's Affiliation | National Institute of Informatics(NII) |
| 4th Author's Name | Wadayama Tadashi |
| 4th Author's Affiliation | Nagoya Institute of Technology(NITech) |
| 5th Author's Name | Kenji Sugimoto |
| 5th Author's Affiliation | Nara Institute of Science and Technology(NAIST) |
| Date | 2020-01-27 |
| Paper # | RCC2019-73 |
| Volume (vol) | vol.119 |
| Number (no) | RCC-395 |
| Page | pp.pp.19-22(RCC), |
| #Pages | 4 |
| Date of Issue | 2020-01-20 (RCC) |