Abstract
This paper is concerned with the mixed-time fuzzy optimal estimator for the target tracking. The proposed method takes account of behaviour for target motion in continuous time and system measurement in discrete time. The overall dynamic of system in continuous-time is discretised by using Takagi-Sugeno(T-S) fuzzy models. Based on the fuzzy model the fuzzy estimation is studied. Then the error state of the filtering process is means square bounded. A basis dependent Lyapunov function approach is developed to design the fuzzy filter and a filter gain is minimized by using some linear matrix inequalities(LMIs) constraints. A numerical example is provided to demonstrate various aspects of theoretical results.
| Original language | English |
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| Title of host publication | FUZZ 2011 - 2011 IEEE International Conference on Fuzzy Systems - Proceedings |
| Pages | 1994-1998 |
| Number of pages | 5 |
| DOIs | |
| Publication status | Published - 2011 |
| Event | 2011 IEEE International Conference on Fuzzy Systems, FUZZ 2011 - Taipei, Taiwan, Province of China Duration: 2011 Jun 27 → 2011 Jun 30 |
Publication series
| Name | IEEE International Conference on Fuzzy Systems |
|---|---|
| ISSN (Print) | 1098-7584 |
Other
| Other | 2011 IEEE International Conference on Fuzzy Systems, FUZZ 2011 |
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| Country | Taiwan, Province of China |
| City | Taipei |
| Period | 11/6/27 → 11/6/30 |
All Science Journal Classification (ASJC) codes
- Software
- Theoretical Computer Science
- Artificial Intelligence
- Applied Mathematics
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Cite this
Noh, S. Y., Park, J. B., & Joo, Y. H. (2011). Mixed-time T-S fuzzy optimal estimator for target tracking. In FUZZ 2011 - 2011 IEEE International Conference on Fuzzy Systems - Proceedings (pp. 1994-1998). [6007671] (IEEE International Conference on Fuzzy Systems). https://doi.org/10.1109/FUZZY.2011.6007671