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multibody simulation model  (MathWorks Inc)


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    MathWorks Inc multibody simulation model
    Multibody Simulation Model, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/multibody+simulation+model/pm40410392-5-2-2
    Average 90 stars, based on 1 article reviews
    multibody simulation model - by Bioz Stars, 2026-10
    90/100 stars

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    other:

    Article Title: Fault-tolerant adaptive attitude tracking control of satellite with uncertainty and actuator misalignment in presence of environmental disturbances.
    Article Snippet: Furthermore, a MATLAB Multibody simulation model validates the controller, yielding a maximum verification error less than 4% in angular velocity.

    Article Title: Fault-tolerant adaptive attitude tracking control of satellite with uncertainty and actuator misalignment in presence of environmental disturbances.
    Article Snippet: Furthermore, a MATLAB Multibody simulation model validates the controller, yielding a maximum verification error less than

    Article Title: Mechanical analysis of deepwater drilling riser system based on multibody system dynamics
    Article Snippet: Finally, the multibody simulation model is assembled in MATLAB according to their topological relation.

    Article Title: Dynamic Multibody Modeling of Spherical Roller Bearings with Localized Defects for Large-Scale Rotating Machinery
    Article Snippet: In order to investigate the dynamic behavior of spherical roller bearings and evaluate the impact of localized defects, a multibody simulation model was developed in Simulink ® Simscape Multibody.



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    (A) Computational model for <t>multibody</t> dynamic simulation of a pivot landing. Knee squatting was represented with a smaller peak quadriceps force (500 N) and gravitational force at the hip (200 N) and no external tibial torque. (B) Representation of the patellofemoral contact pressure distribution. (C) Parameters used to characterize patellar tracking.
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    (A) Computational model for multibody dynamic simulation of a pivot landing. Knee squatting was represented with a smaller peak quadriceps force (500 N) and gravitational force at the hip (200 N) and no external tibial torque. (B) Representation of the patellofemoral contact pressure distribution. (C) Parameters used to characterize patellar tracking.

    Journal: Arthroscopy, Sports Medicine, and Rehabilitation

    Article Title: Adding Tibial Tuberosity Medialization to Medial Patellofemoral Ligament Reconstruction Reduces Lateral Patellar Maltracking During Multidirectional Motion in a Computational Simulation Model

    doi: 10.1016/j.asmr.2023.100753

    Figure Lengend Snippet: (A) Computational model for multibody dynamic simulation of a pivot landing. Knee squatting was represented with a smaller peak quadriceps force (500 N) and gravitational force at the hip (200 N) and no external tibial torque. (B) Representation of the patellofemoral contact pressure distribution. (C) Parameters used to characterize patellar tracking.

    Article Snippet: The multibody dynamic simulation models and simulated motion (RecurDyn, FunctionBay, Seongnam, Korea) have been described in detail previously., , , Models were reconstructed from 3.0 T MRI scans of the extended and unloaded knee (proton density weighted, slice thickness ranging from 0.5 mm to 1.5 mm).

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