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simulink-amesim co-simulation platform  (MathWorks Inc)


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    Structured Review

    MathWorks Inc simulink-amesim co-simulation platform
    Simulink Amesim Co Simulation Platform, 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/amesim/pm39727782-121-2-2
    Average 90 stars, based on 1 article reviews
    simulink-amesim co-simulation platform - by Bioz Stars, 2026-10
    90/100 stars

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    Related Articles

    other:

    Article Title: Research on thermal energy management for PHEV based on NSGA-II optimization algorithm
    Article Snippet: Then the NSGA-II control optimization algorithm is applied in the coupled Simulink/Amesim model to obtain the combination of pump and fan with the lowest energy consumption under different working conditions.

    Article Title: Research on thermal energy management for PHEV based on NSGA-II optimization algorithm
    Article Snippet: A 1.5L naturally aspirated PHEV vehicle energy and thermal management model is constructed using the Simulink/Amesim co-simulation Processing math: % platform to evaluate PHEV performance in various conditions by correlating the engine thermal management system with the power economy model.

    Article Title: Enhanced path tracking control of hydraulic support pushing mechanism via adaptive sliding mode technique in coal mine backfill operations
    Article Snippet: Combining the experimental equipment information from a mining area in Hebei Province with Amesim-Simulink simulation results, it is evident that the adaptive sliding mode controller exhibits an error range between approximately 1.33E-4 and 1.5E-4 during the stable phase.

    Article Title: Electro-thermal model for lithium-ion battery simulations
    Article Snippet: With the extensive application of lithium batteries and the continuous improvements in battery management systems and other related technologies, the requirements for fast and accurate modeling of lithium batteries are gradually increasing.. Temperature plays a vital role in the dynamics and transmission of electrochemical systems.. The thermal effect must be considered in battery models.

    Article Title: Deep reinforcement learning enhanced PID control for hydraulic servo systems in injection molding machines.
    Article Snippet: The strategy was implemented in an AMESim/Simulink co-simulation environment, where the DDPG agent continuously optimizes PID parameters through interaction with the environment, enabling adaptation to system nonlinearities and external disturbances.

    Article Title: Biomimetic Linkage Mechanism Robust Control for Variable Stator Vanes in Aero-Engine.
    Article Snippet: Using the Simulink-Amesim co-simulation platform, the simulation was run.

    Article Title: Control-response characteristics of deceleration braking system of pipeline intelligent plugging robot
    Article Snippet: Controlling pipeline intelligent plugging robots (PIPRs) to execute rapid and precise deceleration braking within a designated distance is pivotal for enhancing the efficiency of oil-and-gas pipeline maintenance and repair operations.. Therefore, for a PIPR that relies on friction braking between the rubber cylinder and pipe wall, a hydraulic control system for deceleration braking is designed to achieve rapid and precise deceleration braking, and an experimental setup is established to verify its feasibility.. Concurrently, a joint simulation model of constant deceleration nonlinear dynamics based on the fuzzy Proportion Integration Differentiation (PID) algorithm is proposed to elucidate the effects of key parameters, such as the initial velocity and braking distance, on the stability of the dynamic control of the robot during deceleration braking.

    Control:

    Article Title: Dual-valve parallel prediction control for an electro-hydraulic servo system.
    Article Snippet: .. AMESim–Simulink co-simulation modeling for dual-valve parallel PID–MPC control Figure 6 displays the simulation model for dual-valve parallel PID–MPC composite control (similar to the model of PID control). ..



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