Fuzzy Logic Deadzone Compensation with Feedback Linearization of Nonlinear Systems

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ISSN Print: 2152-7385
ISSN Online: 2152-7393
www.scirp.org/journal/am
E-mail: am@scirp.org

"Fuzzy Logic Deadzone Compensation with Feedback Linearization of Nonlinear Systems"
written by Jun Oh Jang,
published by Applied Mathematics, Vol.10 No.3, 2019

has been cited by the following article(s):

[1]	Robustness of Uncertain Switching Nonlinear Feedback Systems against Large Time-Variation
	2021

[2]	Fuzzy Inference Based Approach for Pitch Angle Control of Variable Speed Variable Pitch Wind Turbine
	2020

[1]	Fuzzy logic approach for controlling uncertain and nonlinear systems: a comprehensive review of applications and advances Systems Science & Control Engineering, 2024 DOI:10.1080/21642583.2024.2394429

[2]	Fuzzy logic approach for controlling uncertain and nonlinear systems: a comprehensive review of applications and advances Systems Science & Control Engineering, 2024 DOI:10.1080/21642583.2024.2394429

[3]	Robustness of Uncertain Switching Nonlinear Feedback Systems Against Large Time-Variation IEEE Transactions on Automatic Control, 2022 DOI:10.1109/TAC.2021.3077456

[4]	Robustness of Uncertain Switching Nonlinear Feedback Systems Against Large Time-Variation IEEE Transactions on Automatic Control, 2022 DOI:10.1109/TAC.2021.3077456

[5]	Fuzzy Inference Based Approach for Pitch Angle Control of Variable Speed Variable Pitch Wind Turbine 2020 Asia Energy and Electrical Engineering Symposium (AEEES), 2020 DOI:10.1109/AEEES48850.2020.9121505

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