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fuzzy controllers  (MathWorks Inc)


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    Structured Review

    MathWorks Inc fuzzy controllers
    Figure 4. Fuzzy tracking <t>controllers:</t> inputs—position and heading errors; outputs—left and right motor velocities for path tracking.
    Fuzzy Controllers, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 1201 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/fuzzy+logic+controller/Fuzzy+Logic+Toolbox/pm39860815-327-6-16
    Average 96 stars, based on 1201 article reviews
    fuzzy controllers - by Bioz Stars, 2026-11
    96/100 stars

    Images

    1) Product Images from "A Fuzzy Control Strategy for Multi-Goal Autonomous Robot Navigation."

    Article Title: A Fuzzy Control Strategy for Multi-Goal Autonomous Robot Navigation.

    Journal: Sensors (Basel, Switzerland)

    doi: 10.3390/s25020446

    Figure 4. Fuzzy tracking controllers: inputs—position and heading errors; outputs—left and right motor velocities for path tracking.
    Figure Legend Snippet: Figure 4. Fuzzy tracking controllers: inputs—position and heading errors; outputs—left and right motor velocities for path tracking.

    Techniques Used:

    Related Articles

    other:

    Article Title: A neuro-fuzzy multi-topology adaptive routing framework for QoS-aware healthcare IoT communications.
    Article Snippet: The search engine was created using MATLAB Fuzzy Logic Toolbox and needed five input parameters(traffic load, available resources, energy, connectivity degree and past history).

    Article Title: A Fuzzy-Logic Approach for Health Index Estimation of OLTCs in Power Transformers
    Article Snippet: Fuzzy-Inference System Simulation in MATLAB Software The simulation for this project is conducted using MATLAB R2024b—Fuzzy Toolbox and Simulink [47].

    Article Title: Interfacial charge transfer dynamics between MA0.5Cs0.5PbBr3 and 8-aminoquinoline and the application of AI–ML-based soft computing to predict photoluminescence quantum yield
    Article Snippet: Perovskite nanocrystals (PNCs) have emerged as promising materials for photocatalytic applications due to their superior optoelectronic properties.. Nevertheless, a detailed understanding of charge carrier separation and interfacial charge transfer remains dynamics are crucial for optimizing their photocatalytic and photovoltaic performance.. In this work, the charge-transfer dynamics between MA0.5Cs0.5PbBr3 nanocrystals and 8-aminoquinoline (AQ) were investigated using steady-state and time-resolved photoluminescence spectroscopy.

    Article Title: Identification of cognitive phenotypes in temporal lobe epilepsy and genetic generalized epilepsy using robotic assessment.
    Article Snippet: We used the “fcm” function from the Fuzzy Logic Toolbox in R2022a, Mathworks Inc [25].

    Article Title: A Hybrid Methodology for Intelligent Decision Support in Catalytic Cracking Under Uncertainty
    Article Snippet: The performance of the fuzzy model was analyzed using the visualization tools of the MATLAB R2018a Fuzzy Logic Toolbox.

    Article Title: Application of Dempster–Shafer Theory–based fuzzy logic for pH control in electroflocculation of microplastics from synthetic wastewater
    Article Snippet: Industrial wastewater contains organic and toxic compounds, as well as emerging contaminants such as microplastics, which affect aquatic life, mammals, and groundwater when discharged into the environment untreated.. Electroflocculation (ECF) is a promising treatment technology, and its performance is strongly influenced by the initial pH; however, selecting the optimal pH remains challenging because published studies report varying operating conditions and treatment efficiencies.. In this study, published electroflocculation studies reporting the influence of initial pH were systematically compiled and analysed using a Dempster–Shafer Theory (DST)-based fuzzy logic framework.

    Biomarker Discovery:

    Article Title: NADES-based extraction of olive leaf phenolics using RSM, ANFIS and machine learning techniques
    Article Snippet: .. The experimental data were separated for training, testing, and validation of the network model using MATLAB v. R2013a fuzzy logic toolbox to forecast the results of the extraction of a signicant amount of phenolics from olive leaves. ..

    Extraction:

    Article Title: NADES-based extraction of olive leaf phenolics using RSM, ANFIS and machine learning techniques
    Article Snippet: .. The experimental data were separated for training, testing, and validation of the network model using MATLAB v. R2013a fuzzy logic toolbox to forecast the results of the extraction of a signicant amount of phenolics from olive leaves. ..



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    Figure 4. Fuzzy tracking <t>controllers:</t> inputs—position and heading errors; outputs—left and right motor velocities for path tracking.
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    Image Search Results


    Figure 4. Fuzzy tracking controllers: inputs—position and heading errors; outputs—left and right motor velocities for path tracking.

    Journal: Sensors (Basel, Switzerland)

    Article Title: A Fuzzy Control Strategy for Multi-Goal Autonomous Robot Navigation.

    doi: 10.3390/s25020446

    Figure Lengend Snippet: Figure 4. Fuzzy tracking controllers: inputs—position and heading errors; outputs—left and right motor velocities for path tracking.

    Article Snippet: A detailed analysis of the proposed fuzzy controllers was performed, utilizing the Fuzzy Logic Toolbox in MATLAB R2023a for their design and implementation.

    Techniques: