carsim simulink co simulation platform (MathWorks Inc)
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MathWorks Inc
carsim simulink co simulation platform
Carsim Simulink Co Simulation Platform, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 539 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/carsim-simulink+co-simulation+platform/Simulink+Test/pmc12736524-261-7-7
Average 96 stars, based on 539 article reviews
Carsim Simulink Co Simulation Platform, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 539 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/carsim-simulink+co-simulation+platform/Simulink+Test/pmc12736524-261-7-7
Average 96 stars, based on 539 article reviews
carsim simulink co simulation platform - by Bioz Stars,
2026-09
96/100 stars
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Biomarker Discovery:Article Title: A dynamic trajectory planning method for lane-changing maneuver of connected and automated vehicles Article Snippet: This paper describes a dynamic trajectory planning method for lane-changing maneuver of connected and automated vehicles (CAVs).. The proposed dynamic lane-changing trajectory planning (DLTP) model adopts vehicle-to-vehicle (V2V) communication to generate an automated lane-changing maneuver with avoiding potential collisions and rollovers during the lane-changing process.. The novelty of this method is that the DLTP model combines a detailed velocity planning strategy and considers more complete driving environment information. Article Title: Deep reinforcement learning based direct torque control strategy for distributed drive electric vehicles considering active safety and energy saving performance Article Snippet: The proposed DRL-based direct torque distribution strategy was implemented on the CarSim-Simulink co-simulation platform. Article Title: Intelligent vehicle lateral control strategy research based on feedforward + predictive LQR algorithm with GA optimisation and PID compensation Article Snippet: Finally, Based on the Article Title: Gain Scheduling Output Feedback Control for Vehicle Path Tracking Considering Input Saturation Article Snippet: The simulation is implemented on the Article Title: RBFNN based terminal sliding mode adaptive control for electric ground vehicles after tire blowout on expressway Article Snippet: As well, a Article Title: Adaptive authority allocation-based driver-automation shared control for autonomous vehicles. Article Snippet: To avoid crashes caused by driver error in avoiding obstacles, a driver-centered steering assist controller with an adaptive authority allocation system is proposed for cooperative control purposes.. To begin with, a concept of space collision risk (SCR) is introduced creatively for assessing the vehicle’s safety status in which the relative distance and the relative angle between the vehicle and the obstacle are taken into consideration.. Meanwhile, the SCR-based authority allocation system is addressed to allocate steering authorities between the human driver and the assist controller adaptively to reduce SCR to zero as soon as possible. Article Title: Intelligent vehicle lateral control strategy research based on feedforward + predictive LQR algorithm with GA optimisation and PID compensation Article Snippet: Simulation validation is carried out based on the Article Title: Holistic Adaptive Multi-Model Predictive Control for the Path Following of 4WID Autonomous Vehicles Article Snippet: This paper presents a novel adaptive multiple-model predictive control (MPC) scheme for Four-Wheel Independent Drive (4WID) autonomous vehicles with a holistic structure.. Firstly, the combined vehicle-path model is established.. To ensure the realtime performance of MPC, the coupling relationships in the control output and the longitudinal/lateral motions are well decoupled, in this way a linear integrated model is utilized as the internal model of the controller. Control:Article Title: A dynamic trajectory planning method for lane-changing maneuver of connected and automated vehicles Article Snippet: This paper describes a dynamic trajectory planning method for lane-changing maneuver of connected and automated vehicles (CAVs).. The proposed dynamic lane-changing trajectory planning (DLTP) model adopts vehicle-to-vehicle (V2V) communication to generate an automated lane-changing maneuver with avoiding potential collisions and rollovers during the lane-changing process.. The novelty of this method is that the DLTP model combines a detailed velocity planning strategy and considers more complete driving environment information. Article Title: Deep reinforcement learning based direct torque control strategy for distributed drive electric vehicles considering active safety and energy saving performance Article Snippet: The proposed DRL-based direct torque distribution strategy was implemented on the CarSim-Simulink co-simulation platform. Article Title: Intelligent vehicle lateral control strategy research based on feedforward + predictive LQR algorithm with GA optimisation and PID compensation Article Snippet: Finally, Based on the Article Title: Gain Scheduling Output Feedback Control for Vehicle Path Tracking Considering Input Saturation Article Snippet: The simulation is implemented on the Article Title: RBFNN based terminal sliding mode adaptive control for electric ground vehicles after tire blowout on expressway Article Snippet: As well, a Article Title: Adaptive authority allocation-based driver-automation shared control for autonomous vehicles. Article Snippet: To avoid crashes caused by driver error in avoiding obstacles, a driver-centered steering assist controller with an adaptive authority allocation system is proposed for cooperative control purposes.. To begin with, a concept of space collision risk (SCR) is introduced creatively for assessing the vehicle’s safety status in which the relative distance and the relative angle between the vehicle and the obstacle are taken into consideration.. Meanwhile, the SCR-based authority allocation system is addressed to allocate steering authorities between the human driver and the assist controller adaptively to reduce SCR to zero as soon as possible. Article Title: Intelligent vehicle lateral control strategy research based on feedforward + predictive LQR algorithm with GA optimisation and PID compensation Article Snippet: Simulation validation is carried out based on the Article Title: Holistic Adaptive Multi-Model Predictive Control for the Path Following of 4WID Autonomous Vehicles Article Snippet: This paper presents a novel adaptive multiple-model predictive control (MPC) scheme for Four-Wheel Independent Drive (4WID) autonomous vehicles with a holistic structure.. Firstly, the combined vehicle-path model is established.. To ensure the realtime performance of MPC, the coupling relationships in the control output and the longitudinal/lateral motions are well decoupled, in this way a linear integrated model is utilized as the internal model of the controller. |