Design of Intelligent Controller Using Type-2 Fuzzy Cerebellar Model Articulation and 3D Membership Functions-Reference-Cited by-同舟云学术

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Design of Intelligent Controller Using Type-2 Fuzzy Cerebellar Model Articulation and 3D Membership Functions

Published:2022-11-21 Issue:3 Volume:25 Page:966-979
ISSN:1562-2479
Container-title:International Journal of Fuzzy Systems
language:en
Short-container-title:Int. J. Fuzzy Syst.

Author:

Le Tien-Loc^ORCID

Funder

Ministry of Science and ICT, South Korea

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Software

Link

https://link.springer.com/content/pdf/10.1007/s40815-022-01419-4.pdf

Reference49 articles.

1. Haghiabi, A.H., Parsaie, A., Ememgholizadeh, S.: Prediction of discharge coefficient of triangular labyrinth weirs using Adaptive Neuro Fuzzy Inference System. Alex. Eng. J. 57(3), 1773–1782 (2018)

2. Bukhari, A.H., Sulaiman, M., Islam, S., Shoaib, M., Kumam, P., Raja, M.A.Z.: Neuro-fuzzy modeling and prediction of summer precipitation with application to different meteorological stations. Alex. Eng. J. 59(1), 101–116 (2020)

3. Sheng, L., Xiaojie, G., Lanyong, Z.: Robust adaptive backstepping sliding mode control for six-phase permanent magnet synchronous motor using recurrent wavelet fuzzy neural network. IEEE Access 5, 14502–14515 (2017)

4. Al-Qaness, M.A., Abd Elaziz, M., Ewees, A.A.: Oil consumption forecasting using optimized adaptive neuro-fuzzy inference system based on sine cosine algorithm. IEEE Access 6, 68394–68402 (2018)

5. Xiao, J., Cheng, J., Shi, K., Zhang, R.: A general approach to fixed-time synchronization problem for fractional-order multi-dimension-valued fuzzy neural networks based on memristor. IEEE Trans. Fuzzy Syst. 30(4), 968–977 (2021)

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1. A 3D Membership Function-Based Type-2 Fuzzy Brain Emotional Learning Predictor for Forecasting Taiwan Stock Price;International Journal of Fuzzy Systems;2024-01-22

2. Robust controller design for a class of MIMO nonlinear systems using TOPSIS function-link fuzzy cerebellar model articulation controller and interval type-2 fuzzy compensator;IRAN J FUZZY SYST;2023

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