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algorithm design real time workshop embedded coder simulink hdl coder c coder hdl mcu dsp fpga asic g enerate g enerate  (MathWorks Inc)


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    MathWorks Inc algorithm design real time workshop embedded coder simulink hdl coder c coder hdl mcu dsp fpga asic g enerate g enerate
    Algorithm Design Real Time Workshop Embedded Coder Simulink Hdl Coder C Coder Hdl Mcu Dsp Fpga Asic G Enerate G Enerate, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 94/100, based on 153 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/software+simulink/Embedded+Coder/10__1587_slash_bplus__2010__13_48-9-141-147
    Average 94 stars, based on 153 article reviews
    algorithm design real time workshop embedded coder simulink hdl coder c coder hdl mcu dsp fpga asic g enerate g enerate - by Bioz Stars, 2026-11
    94/100 stars

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    other:

    Article Title: An adaptive online monitoring system using NFSOGI-PLL for three-phase voltage unbalance in grids
    Article Snippet: The extensive utilization of unbalanced and nonlinear loads has significantly impacted power quality in modern grids.. Among various metrics, the three-phase voltage unbalance factor (TPVUF) stands out as a crucial indicator.. To mitigate the challenges posed by harmonics and DC components that interfere with accurate TPVUF measurements, this paper introduces the Notch Filter-based Second-Order Generalized Integrator Phase-Locked Loop (NFSOGI-PLL) for the first time and designs an adaptive online monitoring system for TPVUF based on NFSOGIPLL.

    Article Title: Training simulator for healthcare training
    Article Snippet: The controller was implemented on a microcontroller (e.g., TI F28379D, Texas Instrument, USA) and programmed using MATLAB/Simulink Embedded Coder (MATLAB 2020a, Mathworks, USA).

    Article Title: Momentary informatics based data-driven estimation of lithium-ion battery health under dynamic discharging currents
    Article Snippet: Data-driven approaches have been proposed to estimate the state-of-health (SOH) of lithium-ion batteries.. Most of the existing data-driven approaches are designed for conditions of constant current (CC) charging/discharging at a specific rate over a long duration.. However, the loading profiles of batteries can be highly volatile, which restricts the application of existing data-driven methods.

    Article Title: Lingshu: A modular real-time control system framework for experimental tokamaks
    Article Snippet: The next generation of Tokamak devices in China necessitates enhanced real-time and scalable control systems.. A new control system framework, Lingshu, has been designed and implemented to construct a comprehensive Plasma Control System (PCS).. Lingshu employs a modular architecture based on a lightweight core infrastructure to achieve flexibility while maintaining real-time performance.

    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 ANN and MHI computation blocks were exported via MATLAB Embedded Coder®, with target-specific code generation flags (e.g., -float32, -O2, -suppressible) to ensure bit-exact reproducibility.

    Control:

    Article Title: Training simulator for healthcare training
    Article Snippet: All sensors readings were accessed and packed by a lower-level microcontroller (Teeny 3.5, PJRC, USA) and then transmitted to the upper-level microcontroller (TI C2000, TMS28379D, Texas Instrument, USA) at 1.5 kHz. .. The control system was implemented on the upper-level microcontroller and programmed using Simulink Embedded Coder (MATLAB 2019b, MathWorks, USA). ..

    Article Title: Observer-Based Volumetric Flow Control in Nonlinear Electro-Pneumatic Extrusion Actuator with Rheological Dynamics
    Article Snippet: .. Control logic is executed via a BBBWL-SC-562 BeagleBone Black controller (GHI Electronics, LLC), which supports Simulink real-time execution through the MathWorks Embedded Coder interface. ..

    Article Title: A Constriction-Based PSO Method with an Enhanced Cost Function for PI Optimization in FOC Speed Controllers
    Article Snippet: .. In this study, the control method modeling process and its implementation in the form of embedded code were carried out using MATLAB Simulink and Embedded Coder Support Package. ..



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    Image Search Results


    Geometry and laser log obtained from de‐identified patient dataset, demonstrating probe placement for controller feedback. (a) Three‐dimensional human head geometry, obtained from a de‐identified magnetic resonance guided laser interstitial thermal therapy (MRgLITT) patient, was segmented from MR images. This geometry was partitioned into five distinct domains, representing the skull, cerebrospinal fluid (CSF) general, brain tissue (averaged white matter and gray matter), CSF ventricles, and the tumor region along with MNP distribution. (b) The laser power and incremental laser retraction (5 mm) were modeled using a laser log from the de‐identified MRgLITT treatment. (c) Placement of temperature and thermal damage measuring probes within the tumor to provide feedback to the controller. L1, L2, and L3 represent the incremental laser retraction. CP1, CP2 and CP3 represent the maximum tumor temperature, whereas BP1, BP2, and BP3 represent the tumor boundary temperature.

    Journal: Medical Physics

    Article Title: Automated laser retraction for targeted glioblastoma coverage during laser interstitial thermal therapy

    doi: 10.1002/mp.70267

    Figure Lengend Snippet: Geometry and laser log obtained from de‐identified patient dataset, demonstrating probe placement for controller feedback. (a) Three‐dimensional human head geometry, obtained from a de‐identified magnetic resonance guided laser interstitial thermal therapy (MRgLITT) patient, was segmented from MR images. This geometry was partitioned into five distinct domains, representing the skull, cerebrospinal fluid (CSF) general, brain tissue (averaged white matter and gray matter), CSF ventricles, and the tumor region along with MNP distribution. (b) The laser power and incremental laser retraction (5 mm) were modeled using a laser log from the de‐identified MRgLITT treatment. (c) Placement of temperature and thermal damage measuring probes within the tumor to provide feedback to the controller. L1, L2, and L3 represent the incremental laser retraction. CP1, CP2 and CP3 represent the maximum tumor temperature, whereas BP1, BP2, and BP3 represent the tumor boundary temperature.

    Article Snippet: Controller design software such as MATLAB Simulink allows for the design of linear temporal models but lacks the capability to accurately represent the spatiotemporal dynamics of the system which will lead to suboptimal treatment plan.

    Techniques:

    Block diagram of cascaded proportional integral derivative (PID) fuzzy logic controller for thermal damage control during MRgLITT treatments.

    Journal: Medical Physics

    Article Title: Automated laser retraction for targeted glioblastoma coverage during laser interstitial thermal therapy

    doi: 10.1002/mp.70267

    Figure Lengend Snippet: Block diagram of cascaded proportional integral derivative (PID) fuzzy logic controller for thermal damage control during MRgLITT treatments.

    Article Snippet: Controller design software such as MATLAB Simulink allows for the design of linear temporal models but lacks the capability to accurately represent the spatiotemporal dynamics of the system which will lead to suboptimal treatment plan.

    Techniques: Blocking Assay, Control

    PID controller with automatic probe retraction for COP. (a) Power. (b) Temperature at CP. (c) Temperature at BP. (d) Thermal damage at BP. (e) Temperature contour of 60 and 43°C at the end of L1, L2, and L3 respectively.

    Journal: Medical Physics

    Article Title: Automated laser retraction for targeted glioblastoma coverage during laser interstitial thermal therapy

    doi: 10.1002/mp.70267

    Figure Lengend Snippet: PID controller with automatic probe retraction for COP. (a) Power. (b) Temperature at CP. (c) Temperature at BP. (d) Thermal damage at BP. (e) Temperature contour of 60 and 43°C at the end of L1, L2, and L3 respectively.

    Article Snippet: Controller design software such as MATLAB Simulink allows for the design of linear temporal models but lacks the capability to accurately represent the spatiotemporal dynamics of the system which will lead to suboptimal treatment plan.

    Techniques:

    PID controller with automatic probe retraction for VOP. (a) Power. (b) Temperature at CP. (c) Temperature at BP. (d) Thermal damage at BP. (e) Temperature contour of 60 and 43°C at the end of L1, L2, and L3 respectively.

    Journal: Medical Physics

    Article Title: Automated laser retraction for targeted glioblastoma coverage during laser interstitial thermal therapy

    doi: 10.1002/mp.70267

    Figure Lengend Snippet: PID controller with automatic probe retraction for VOP. (a) Power. (b) Temperature at CP. (c) Temperature at BP. (d) Thermal damage at BP. (e) Temperature contour of 60 and 43°C at the end of L1, L2, and L3 respectively.

    Article Snippet: Controller design software such as MATLAB Simulink allows for the design of linear temporal models but lacks the capability to accurately represent the spatiotemporal dynamics of the system which will lead to suboptimal treatment plan.

    Techniques: