Use of augmented output membership functions to improve control accuracy of second-order fuzzy system

Author:

Khokhar Salah-ud-dinORCID

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference30 articles.

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4. A novel approach of hybrid trigonometric Bézier curve to the modeling of symmetric revolutionary curves and symmetric rotation surfaces;BiBi;IEEE Access,2019

5. Long short-term memory (lstm) neural network and adaptive neuro-fuzzy inference system (anfis) approach in modeling renewable electricity generation forecasting;Bilgili;Int. J. Green Energy,2021

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Applying a Higher Number of Output Membership Functions to Enhance the Precision of a Fuzzy System;IEEE Transactions on Emerging Topics in Computational Intelligence;2024

2. Fuzzy Logic Based Lipid Profile Control System;Lecture Notes in Networks and Systems;2024

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