A modified functional observer-based EID estimator for unknown sampled-data singular systems
| Autor: | Jason Sheng Hong Tsai, Shu-Mei Guo, Jose I. Canelon, Yang Fang Chen, Leang-San Shieh, Chia Yuan Chang |
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| Rok vydání: | 2019 |
| Předmět: |
0209 industrial biotechnology
Observer (quantum physics) Computer science Estimator 02 engineering and technology Singular systems Linear quadratic Kalman filter Computer Science Applications Theoretical Computer Science Identification (information) 020901 industrial engineering & automation Control and Systems Engineering Control theory 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Observer based Equivalent input |
| Zdroj: | International Journal of Systems Science. 50:1976-2001 |
| ISSN: | 1464-5319 0020-7721 |
| DOI: | 10.1080/00207721.2019.1645919 |
| Popis: | This paper presents both an observer/Kalman filter identification (OKID) method-based linear quadratic digital tracker (LQDT) and a new functional observer-based discrete equivalent input disturban... |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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