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matlab software tool simulink  (MathWorks Inc)


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    MathWorks Inc matlab software tool simulink
    Matlab Software Tool Simulink, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 991 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/simulation+modeling+tool+matlab/Simscape/pm34233318-148-23-26
    Average 96 stars, based on 991 article reviews
    matlab software tool simulink - by Bioz Stars, 2026-11
    96/100 stars

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    other:

    Article Title: A simulation-based dataset for anomaly detection in hydrogen blend transport networks
    Article Snippet: The data acquisition files include: • 12 pressure sensors (PS1–PS12) • 4 mass flow sensors (MFS1–MFS4) • Local restrictions (G1–G6) and compressors (C1–C3), which are also used to generate controlled anomalies The hydrogen transport network was modeled in MATLAB Simscape, initially developed in R2024b using Simscape Fluids.

    Article Title: A simulation-based dataset for anomaly detection in hydrogen blend transport networks
    Article Snippet: MATLAB_SIMSCAPE_Simulation/ , Original MATLAB Simscape files.

    Article Title: A simulation-based dataset for anomaly detection in hydrogen blend transport networks
    Article Snippet: The hydrogen transport network was modeled in MATLAB/Simscape (R2025a) using components from the Simscape Gas Fluids library.

    Article Title: A simulation-based dataset for anomaly detection in hydrogen blend transport networks
    Article Snippet: The model files can also be opened in earlier compatible MATLAB/Simscape versions (e.g., R2024a/b) and can be exported in a backward-compatible format.

    Article Title: Dual-Unit ECG Acquisition System Without Shared Ground: Design and Implementation.
    Article Snippet: The manufacturer-provided SPICE subcircuit description was automatically converted into a custom Simscape component using the subcircuit2ssc MATLAB function.

    Article Title: Enhanced terminal sliding mode control for gait exoskeleton device: experimental investigation and validation.
    Article Snippet: Furthermore, the models are validated in MATLAB/Simulink and Simscape, and extended with dynamic interaction assessments to suggest the device’s potential to support standard gait patterns, thereby addressing the relative underdevelopment of pediatric exoskeletons20.

    Generated:

    Article Title: A simulation-based dataset for anomaly detection in hydrogen blend transport networks
    Article Snippet: .. Data collection , Data were generated using a MATLAB Simscape model simulating a hydrogen pipeline segment. The dataset includes 12 distributed virtual pressure sensors and 4 mass flow rate sensors, capturing both normal operating conditions and anomalous scenarios such as leaks, compressor failures, and delayed component responses. The simulation reproduces both transient and steady-state dynamics typical of industrial hydrogen transport networks.. ..

    Control:

    Article Title: A data-driven reinforcement learning framework for optimal balance control and stabilization of a rotary inverted pendulum
    Article Snippet: .. The practical significance of TD3 for RIP control was demonstrated by the agent, which was trained in MATLAB Simscape and verified using a hardware model. For the Rotary Inverted Pendulum, a two-degree-offreedom underactuated nonlinear system, an adaptive neural network-based robust control technique was presented in Zabihifar et al. (2020). ..



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    The minimal physiologically‐based pharmacokinetic ( mPBPK ) models that are used in ATLAS mPBPK. ( a ) mPBPK model for small molecules. ( b ) mPBPK model for large molecules with no target binding. ( c ) mPBPK model for large molecules with target binding in plasma (interstitial fluid). ( d ) mPBPK model for large molecules with target binding in peripheral tissues. Parameters' names and typical values are shown in Table . EV, extravascular; IV, intravenous; PO, oral.

    Journal: CPT: Pharmacometrics & Systems Pharmacology

    Article Title: ATLAS mPBPK: A MATLAB‐Based Tool for Modeling and Simulation of Minimal Physiologically‐Based Pharmacokinetic Models

    doi: 10.1002/psp4.12441

    Figure Lengend Snippet: The minimal physiologically‐based pharmacokinetic ( mPBPK ) models that are used in ATLAS mPBPK. ( a ) mPBPK model for small molecules. ( b ) mPBPK model for large molecules with no target binding. ( c ) mPBPK model for large molecules with target binding in plasma (interstitial fluid). ( d ) mPBPK model for large molecules with target binding in peripheral tissues. Parameters' names and typical values are shown in Table . EV, extravascular; IV, intravenous; PO, oral.

    Article Snippet: In this tutorial, we present a MATLAB‐based tool for the modeling and simulation of mPBPK models (ATLAS mPBPK).

    Techniques: Binding Assay, Clinical Proteomics

    Concordance of simulated ATLAS mPBPK small‐molecule model values based on pharmacokinetic data of beta‐lactams. Figure is not an output of ATLAS mPBPK but was constructed by processing ATLAS mPBPK simulation output using MATLAB.

    Journal: CPT: Pharmacometrics & Systems Pharmacology

    Article Title: ATLAS mPBPK: A MATLAB‐Based Tool for Modeling and Simulation of Minimal Physiologically‐Based Pharmacokinetic Models

    doi: 10.1002/psp4.12441

    Figure Lengend Snippet: Concordance of simulated ATLAS mPBPK small‐molecule model values based on pharmacokinetic data of beta‐lactams. Figure is not an output of ATLAS mPBPK but was constructed by processing ATLAS mPBPK simulation output using MATLAB.

    Article Snippet: In this tutorial, we present a MATLAB‐based tool for the modeling and simulation of mPBPK models (ATLAS mPBPK).

    Techniques: Construct

    Demonstration of ATLAS mPBPK large‐molecule model based on PK data of Trastuzumab (target binding in peripheral tissues) and Mavrillimumab (target binding in plasma) for a range of doses. Figures are not an output of ATLAS mPBPK but were constructed by processing ATLAS mPBPK simulation output using MATLAB. c‐TMDD, Target mediated drug disposition in plasma (central); hr, hour; mPBPK, minimal physiologically‐based pharmacokinetic modeling; p‐TMDD, target‐mediated drug disposition in peripheral tissues.

    Journal: CPT: Pharmacometrics & Systems Pharmacology

    Article Title: ATLAS mPBPK: A MATLAB‐Based Tool for Modeling and Simulation of Minimal Physiologically‐Based Pharmacokinetic Models

    doi: 10.1002/psp4.12441

    Figure Lengend Snippet: Demonstration of ATLAS mPBPK large‐molecule model based on PK data of Trastuzumab (target binding in peripheral tissues) and Mavrillimumab (target binding in plasma) for a range of doses. Figures are not an output of ATLAS mPBPK but were constructed by processing ATLAS mPBPK simulation output using MATLAB. c‐TMDD, Target mediated drug disposition in plasma (central); hr, hour; mPBPK, minimal physiologically‐based pharmacokinetic modeling; p‐TMDD, target‐mediated drug disposition in peripheral tissues.

    Article Snippet: In this tutorial, we present a MATLAB‐based tool for the modeling and simulation of mPBPK models (ATLAS mPBPK).

    Techniques: Binding Assay, Clinical Proteomics, Construct