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algorithm implemented inmatlab simulink  (MathWorks Inc)


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    MathWorks Inc algorithm implemented inmatlab simulink
    Algorithm Implemented Inmatlab Simulink, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 1967 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/real-time+algorithm+implementation/Simulink+Real-Time/10__1515_slash_auto___2014___1153-202-5-7
    Average 96 stars, based on 1967 article reviews
    algorithm implemented inmatlab simulink - by Bioz Stars, 2026-10
    96/100 stars

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    Article Title: An automated decision making framework for modern vehicles CO 2 emissions using multi modal engine telemetry and feature interpretability.
    Article Snippet: In addition, Lie et al. [25] developed a high-fidelity toolchain for applying reinforcement learning (RL) to energy management in fuel cell electric vehicles, introduced the distributional soft actor-critic algorithm, and compared two RL strategies, achieving 4–6% hydrogen savings and enabling real-vehicle implementation through Python–MATLAB/Simulink co-simulation.

    Control:

    Article Title: Design and dynamic characteristic analysis of NTSM with variable gains for full-parameter perturbation systems: A case of DC-DC converters.
    Article Snippet: The non-singular terminal sliding mode (NTSM) is widely applied in various nonlinear systems due to its rapid response and non-singularity properties.. However, its dynamic characteristics during convergence are often neglected in current studies, which severely restricts the in-depth development of the NTSM.. This paper takes the typical nonlinear system, DC-DC buck converters, as an example.

    Article Title: Predictive temperature control of electric two wheeler hub motor using gradient aware neural regulation with degradation tracking and fault tolerant multi condition torque adaptation.
    Article Snippet: .. The control algorithm was profiled using Embedded Coder® with Simulink Real- TimeTM for an ARM Cortex-M7 equivalent target, operating at 400 MHz without a dedicated AI accelerator. ..

    Article Title: “A novel adaptive gesture recognition framework for bionic hands using Stacked Autoencoder (SAE), Adaptive Bayesian Feature Selection (ABFS), MODWT, and Hybrid sEMG–MMG Sensor Modality”
    Article Snippet: Integration Architecture: Sensor signals are preprocessed in MATLAB using MODWT and fed through ABFS and SAE to classify gestures. .. Classified gestures are converted into control commands and transmitted to ADAMS using a real-time data exchange interface (MATLAB Simulink + ADAMS/Controls). ..

    Sampling:

    Article Title: Design and dynamic characteristic analysis of NTSM with variable gains for full-parameter perturbation systems: A case of DC-DC converters.
    Article Snippet: The non-singular terminal sliding mode (NTSM) is widely applied in various nonlinear systems due to its rapid response and non-singularity properties.. However, its dynamic characteristics during convergence are often neglected in current studies, which severely restricts the in-depth development of the NTSM.. This paper takes the typical nonlinear system, DC-DC buck converters, as an example.



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