| Article ID | Journal | Published Year | Pages | File Type | 
|---|---|---|---|---|
| 6864816 | Neurocomputing | 2018 | 26 Pages | 
Abstract
												The stabilization and Hâ performance of an interval Type-2 Takagi-Sugeno-Kang fuzzy logic control system (IT2 TSK FLCS) with constant time-delay is considered. The time-delay is divided into integer N parties, then a new Lyapunov-Krasovksii Function (LKF) based on variable N is created. The sufficient conditions of IT2 TSK FLCS with time-delay and Hâ performance are transformed in terms of linear matrix inequalities (LMIs) for MATLAB to do simulation calculation. By increasing the partition of time-delay, the conservativeness of the estimation of upper bounds of time-delay would reduce to some extend largely. A comparison example is presented to indicate improvements and the availability of the algorithm and controller.
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											Authors
												Xun Sun, Huaguang Zhang, Qihe Shan, Yingchun Wang, 
											