| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 4948467 | Neurocomputing | 2016 | 24 Pages |
Abstract
In order to evaluate the performance of the proposed T2FN PI controller, it has been compared with a Fuzzy controller and the conventional PI controller for five different operating conditions. The simulation results show efficiency of the T2FNN PI controller in compare to Fuzzy controller and PI controller in terms of better rejection of disturbances, faster transient response and less peak overshoot.
Keywords
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Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Amir Sharifian, Samaneh Fathi Sasansara, Alireza Agah Balgori,