This paper proposes the relaxed stabilization condition for the output-feedback Takagi-Sugeno (T-S) fuzzy control system. Most of previous papers have used the state-feedback fuzzy controller for the T-S fuzzy model based on parallel-distribution-compensation. However, the state-feedback fuzzy controller is sometimes difficult to be designed when some states are unavailable or inaccessible. This paper introduces the T-S fuzzy control method with the output-feedback fuzzy controller. Furthermore, to reduce the implementation costs caused by the complicated system membership functions, the output-feedback fuzzy controller is designed under the imperfect premise matching. However, the stabilization condition of the output-feedback fuzzy controller under the imperfect premise matching may be conservative. Therefore, for the relaxed condition, the fuzzy Lyapunov function is considered. Finally, the proposed approach is verified by the simulation.
|Title of host publication||2016 International Conference on Fuzzy Theory and Its Applications, iFuzzy 2016|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Publication status||Published - 2017 Aug 8|
|Event||2016 International Conference on Fuzzy Theory and Its Applications, iFuzzy 2016 - Taichung, Taiwan, Province of China|
Duration: 2016 Nov 9 → 2016 Nov 11
|Name||2016 International Conference on Fuzzy Theory and Its Applications, iFuzzy 2016|
|Other||2016 International Conference on Fuzzy Theory and Its Applications, iFuzzy 2016|
|Country||Taiwan, Province of China|
|Period||16/11/9 → 16/11/11|
Bibliographical noteFunding Information:
Research supported by the Institute of BioMed-IT, Energy-IT and Smart-IT Technology (BEST), a Brain Korea 21 plus program, Yonsei University, by Barun lCT Research Center at Yonsei University, and by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (NRF-2016RIA6AIA03013567).
All Science Journal Classification (ASJC) codes
- Applied Mathematics