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fuzzy logic control  (MathWorks Inc)


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    MathWorks Inc fuzzy logic control
    Fuzzy Logic Control, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 883 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/fuzzy+logic+controller+design/Simulink+Control+Design/10__34185_slash_1562___9945___4___159___2025___20-121-0-10
    Average 96 stars, based on 883 article reviews
    fuzzy logic control - by Bioz Stars, 2026-09
    96/100 stars

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    Article Title: MR Dampers in Smart Structures with Nonlinear Non-Affine Dynamics Improvising Intelligent Control
    Article Snippet: Fuzzy Logic Controller design for the fifteen storey structure The Fuzzy Toolbox in MATLAB in SIMULINK is used.

    Article Title: Fuzzy Logic-Based Robust and Autonomous Safe Landing for UAV Quadcopter
    Article Snippet: Recent years, unmanned aerial vehicles (UAVs) have been used to perform various tasks such as surveillance, monitoring, rescue, photography, and security.. Quadcopter configuration of UAV is most common due to its simplicity, stability, and versatile controllability.. Quadcopter landing is most crucial part of the overall operating process.

    Article Title: An Intelligent Thermal Management Fuzzy Logic Control System Design and Analysis Using ANSYS Fluent for a Mobile Robotic Platform in Extreme Weather Applications
    Article Snippet: In this paper, various thermal management designs are explored for robotic operation in extreme temperature environments, which includes options for component and chip level electronics heating/cooling like TIM’s, heat sinks, heat spreader, insulation material, and PCM’s.. Furthermore, other active/passive thermal management systems are investigated, such as Heat pipes, Loop Heat Pipes (LHP), and Capillary Pump Loop (CPL) developed by NASA, Fuzzy Logic and PID temperature control methods.. Some of the thermal management design challenges faced by the heat pipes, LHP, and CPL devices are decrease in the heating/cooling efficiency with abrupt drop in temperatures, costly equipment, high power consumption, and increase in the overall weight of the robot due to several components.



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    Figure 1: A fuzzy logic controller-based single-axis solar tracking system block diagram.

    Journal: International Journal of Technology and Systems

    Article Title: Design and Analysis of the Effect of the Number of Membership Functions on the Accuracy of the Fuzzy Controller in a Sun Tracking System

    doi: 10.47604/ijts.2892

    Figure Lengend Snippet: Figure 1: A fuzzy logic controller-based single-axis solar tracking system block diagram.

    Article Snippet: Matlab R2017a is used to build the solar tracking system's Simulink Fuzzy Logic Controller.

    Techniques: Blocking Assay

    Figure 8. Variable load error changes for FLC49 controller

    Journal: International Journal of Technology and Systems

    Article Title: Design and Analysis of the Effect of the Number of Membership Functions on the Accuracy of the Fuzzy Controller in a Sun Tracking System

    doi: 10.47604/ijts.2892

    Figure Lengend Snippet: Figure 8. Variable load error changes for FLC49 controller

    Article Snippet: Matlab R2017a is used to build the solar tracking system's Simulink Fuzzy Logic Controller.

    Techniques: