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matlab-carsim co-simulation environment  (MathWorks Inc)


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    MathWorks Inc matlab-carsim co-simulation environment
    Matlab Carsim Co Simulation Environment, 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/matlab-carsim+co-simulation+environment/10__1177_slash_09544070211014303-26-16-16
    Average 90 stars, based on 1 article reviews
    matlab-carsim co-simulation environment - by Bioz Stars, 2026-10
    90/100 stars

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    Article Title: Modular estimation of lateral vehicle dynamics and application in optimal AFS control
    Article Snippet: The paper introduces a novel modular estimation approach for lateral vehicle and tire dynamics using a simplified vehicle model and a non-linear estimation algorithm.. A dynamics-oriented representation of lateral tire forces with a single track lateral vehicle model (STVM) has been introduced.. Subsequently, extended Kalman filter (EKF) based distributed observer modules for each dynamical parameter has been designed and combined into a Unified Estimation Scheme (UES).

    Article Title: Study on Vehicle Stability Control by Using Model Predictive Controller and Tire-road Force Robust Optimal Allocation
    Article Snippet: The vehicle chassis integrated control system can improve the stability of vehicles under extreme conditions using tire force allocation algorithm, in which, the nonlinearity and uncertainty of tire-road contact condition need to be taken into consideration.. Thus, An MPC (Model Predictive Control) controller is designed to obtain the additional steering angle and the additional yaw moment.. By using a robust optimal allocation algorithm, the additional yaw moment is allocated to the slip ratios of four wheels.

    Article Title: Motion Control of Autonomous Vehicles with Guaranteed Prescribed Performance
    Article Snippet: In this paper, a novel motion control scheme with guaranteed prescribed performance is proposed for autonomous vehicles with consideration of couplings between lateral and longitudinal motions.. Firstly, a prescribed performance transformation function is constructed to equivalently release the output error constraints.. Then, a coordinated controller is designed to complete lateral and longitudinal motion control tasks simultaneously based on sliding-mode control.



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