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.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Xun Sun, Huaguang Zhang, Qihe Shan, Yingchun Wang,