Advanced Control of Positive Output Self-Lift Luo Converter Using Type-2 Fuzzy Neural Network via Elliptic Membership Function
Author:
Affiliation:
1. Kayseri University,Department of Electrical and Electronics Engineering,Kayseri,Turkey
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10296537/10296542/10296827.pdf?arnumber=10296827
Reference20 articles.
1. Robust and optimal utilisation of power in a grid-interfaced wind energy conversion system with a GWOA-based efficient controller
2. Design, analysis, and implementation of an integral terminal reduced‐order sliding mode controller for a self‐lift positive output Luo converter via Filippov's technique considering the effects of parametric resistances
3. Design of an Efficient Positive Output Self-Lift and Negative Output Self-Lift Luo Converters using Drift Free Technique for Photovoltaic Applications
4. Dynamic performance evaluation of PI and interval type-2 takagi-sugeno-kang fuzzy controller on positive output luo converter;kececioglu;Natural and engineering sciences,2019
5. Improving dynamic efficiency of photovoltaic generation systems using adaptive type 2 fuzzy‐neural network via EN 50530 test procedure
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