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flc  (MathWorks Inc)


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    MathWorks Inc flc
    Flc, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 1167 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/flc+toolbox/Fuzzy+Logic+Toolbox/10__21275_slash_sr24628010922-45-4-7
    Average 96 stars, based on 1167 article reviews
    flc - by Bioz Stars, 2026-09
    96/100 stars

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    Related Articles

    Control:

    Article Title: Performance of a Modified Stator Current Based Model Reference Adaptive System Observer in Sensorless Induction Motor Drives
    Article Snippet: Performance of a Modified Stator Current Based Model Reference Adaptive System Observer in Sensorless Induction Motor Drives Mohamed S. Zaky, Mohamed K. Metwaly, Haitham Z. Azazi & Said A. Deraz To cite this article: Mohamed S. Zaky, Mohamed K. Metwaly, Haitham Z. Azazi & Said A. Deraz (2019): Performance of a Modified Stator Current Based Model Reference Adaptive System Observer in Sensorless Induction Motor Drives , Electric Power Components and Systems, DOI: 10.1080/15325008.2018.1527866 To link to this article: https://doi.org/10.1080/15325008.2018.1527866

    Article Title: A novel neuro-fuzzy controller to enhance the performance of vehicle semi-active suspension systems
    Article Snippet: Taylor & Francis makes every effort to ensure the accuracy of all the information (the “Content”) contained in the publications on our platform.. However, Taylor & Francis, our agents, and our licensors make no representations or warranties whatsoever as to the accuracy, completeness, or suitability for any purpose of the Content.. Any opinions and views expressed in this publication are the opinions and views of the authors, and are not the views of or endorsed by Taylor & Francis.

    Suspension:

    Article Title: A novel neuro-fuzzy controller to enhance the performance of vehicle semi-active suspension systems
    Article Snippet: Taylor & Francis makes every effort to ensure the accuracy of all the information (the “Content”) contained in the publications on our platform.. However, Taylor & Francis, our agents, and our licensors make no representations or warranties whatsoever as to the accuracy, completeness, or suitability for any purpose of the Content.. Any opinions and views expressed in this publication are the opinions and views of the authors, and are not the views of or endorsed by Taylor & Francis.

    other:

    Article Title: Grid-Tied PV-BES system based on modified bat algorithm-FLC MPPT technique under uniform conditions
    Article Snippet: Grid-connected photovoltaic (PV) systems play an important role in reducing emissions resulting from conventional fossilfuel-based power plants.. However, in order to effectively integrated PV systems into the power system, many challenges regarding these renewable resources such as extracting maximum power under various conditions should be solved.. This paper suggests an enhanced maximum power point tracking (MPPT) by the fuzzy logic controller (FLC) and a modified bat algorithm (MBA) to fine-tune the parameters of the controller.



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    Figure 9. Centroid method of defuzzification. 3.2.1. Designing of proportional integral derivative-fuzzy logic <t>controller</t> <t>(PID-FLC)</t> The designed FLC, shown in Figure 7 is a PD-FLC which can be modified to perform as a PID -FLC (Arun & Mohan 2018; Lai & Lin, 2003). Implementing an integrator to the output of PD-FLC and taking a summation of output of the integrator with output of PD- FLC becomes a PID-FLC (Li, 1997) as shown in Figure 10.
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    Figure 9. Centroid method of defuzzification. 3.2.1. Designing of proportional integral derivative-fuzzy logic <t>controller</t> <t>(PID-FLC)</t> The designed FLC, shown in Figure 7 is a PD-FLC which can be modified to perform as a PID -FLC (Arun & Mohan 2018; Lai & Lin, 2003). Implementing an integrator to the output of PD-FLC and taking a summation of output of the integrator with output of PD- FLC becomes a PID-FLC (Li, 1997) as shown in Figure 10.
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    Figure 9. Centroid method of defuzzification. 3.2.1. Designing of proportional integral derivative-fuzzy logic controller (PID-FLC) The designed FLC, shown in Figure 7 is a PD-FLC which can be modified to perform as a PID -FLC (Arun & Mohan 2018; Lai & Lin, 2003). Implementing an integrator to the output of PD-FLC and taking a summation of output of the integrator with output of PD- FLC becomes a PID-FLC (Li, 1997) as shown in Figure 10.

    Journal: Journal of Applied Research and Technology

    Article Title: Comparative Study of PID, PD-FLC and PID-FLC for Active Magnetic Bearing

    doi: 10.22201/icat.24486736e.2023.21.5.1875

    Figure Lengend Snippet: Figure 9. Centroid method of defuzzification. 3.2.1. Designing of proportional integral derivative-fuzzy logic controller (PID-FLC) The designed FLC, shown in Figure 7 is a PD-FLC which can be modified to perform as a PID -FLC (Arun & Mohan 2018; Lai & Lin, 2003). Implementing an integrator to the output of PD-FLC and taking a summation of output of the integrator with output of PD- FLC becomes a PID-FLC (Li, 1997) as shown in Figure 10.

    Article Snippet: Simulation of proposed active magnetic bearing (AMB) system with PD-FLC Fuzzy logic controller (FLC) is designed for the proposed system using fuzzy toolbox application of MATLAB (The MathWorks, 1998).

    Techniques: Modification

    Figure 10. A simplified PID-Fuzzy logic controller (PID-FLC). The designed PID-FLC is used as a position controller for the proposed AMB system, its performance is observed and compared with PD-FLC and PID controller. In the next section, different controllers will be simulated with the proposed AMB system, and their effect and performance are observed.

    Journal: Journal of Applied Research and Technology

    Article Title: Comparative Study of PID, PD-FLC and PID-FLC for Active Magnetic Bearing

    doi: 10.22201/icat.24486736e.2023.21.5.1875

    Figure Lengend Snippet: Figure 10. A simplified PID-Fuzzy logic controller (PID-FLC). The designed PID-FLC is used as a position controller for the proposed AMB system, its performance is observed and compared with PD-FLC and PID controller. In the next section, different controllers will be simulated with the proposed AMB system, and their effect and performance are observed.

    Article Snippet: Simulation of proposed active magnetic bearing (AMB) system with PD-FLC Fuzzy logic controller (FLC) is designed for the proposed system using fuzzy toolbox application of MATLAB (The MathWorks, 1998).

    Techniques:

    Figure 18. Proposed AMB system (when inner closed loop is unity) with PD-FLC. Referring to Figure 2, the complete proposed AMB system is simulated in MATLAB with PD-FLC as a position controller as shown in Figure 19.

    Journal: Journal of Applied Research and Technology

    Article Title: Comparative Study of PID, PD-FLC and PID-FLC for Active Magnetic Bearing

    doi: 10.22201/icat.24486736e.2023.21.5.1875

    Figure Lengend Snippet: Figure 18. Proposed AMB system (when inner closed loop is unity) with PD-FLC. Referring to Figure 2, the complete proposed AMB system is simulated in MATLAB with PD-FLC as a position controller as shown in Figure 19.

    Article Snippet: Simulation of proposed active magnetic bearing (AMB) system with PD-FLC Fuzzy logic controller (FLC) is designed for the proposed system using fuzzy toolbox application of MATLAB (The MathWorks, 1998).

    Techniques: