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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Han Sol Kim Jin Bae Park Young Hoon Joo |
| Copyright Year | 2013 |
| Description | Author affiliation: Dept. of Control & Robot. Eng., Kunsan Univ., Kunsan, South Korea (Young Hoon Joo) || Dept. of Electr. & Electron. Eng., Yonsei Univ., Seoul, South Korea (Han Sol Kim; Jin Bae Park) |
| Abstract | In this paper, relaxed stability of polynomial fuzzy system is considered. Proposed relaxed stability condition is based on the non-quadratic Lyapunov function (NQLF). Since the condition that contains the time derivative of the fuzzy weighting function (FWF) cannot be casted into linear matrix inequality (LMI) condition, various researches arbitrarily set the bound of its magnitude. To solve this problem, in this paper, the stability condition is directly calculated without setting the bound of magnitude of the time derivative of the FWF, and the condition is casted into sum-of-square (SOS) condition. Finally, to prove the superiority of proposed method, simulation example is given. |
| Sponsorship | IEEE Ind. Electron. Soc. |
| Starting Page | 673 |
| Ending Page | 676 |
| File Size | 409676 |
| Page Count | 4 |
| File Format | |
| ISBN | 9788993215052 |
| ISSN | 20937121 |
| DOI | 10.1109/ICCAS.2013.6703954 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-10-20 |
| Publisher Place | South Korea |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Sum-of-square (SOS) Polynomial fuzzy system Relaxed stability condition |
| Content Type | Text |
| Resource Type | Article |
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