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/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/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,
2026-10
96/100 stars
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Blocking Assay:Article Title: Dynamic coordinated control strategy of a dual-motor hybrid electric vehicle based on clutch friction torque observer Article Snippet: Based on the Article Title: Decentralised control strategy for effective utilisation of distributed community energy storage in PV-rich LV distribution network Article Snippet: Integrating a high-capacity residential-scale photovoltaic (PV) system into a low-voltage (LV) network results in voltage rise.. Conversely, voltage drops occur during periods of high demand.. Furthermore, PV generation characteristics vary with seasonality and daily weather conditions, complicating voltage rise and drop management. Article Title: A Study on Lateral Stability Control of Distributed Drive Electric Vehicle Based on Fuzzy Adaptive Sliding Mode Control Article Snippet: This paper presents a joint sliding mode control algorithm with fuzzy adaptive gain to address the problem that the lateral stability of distributed drive electric vehicles is affected by system parameter perturbation and external environment disturbances under steering conditions.. The control system is designed by considering the influence of road conditions and tire nonlinearity, taking the yaw rate and sideslip angle as control variables.. The difference between the expected value and the actual value of the control quantity is taken as the input to obtain the expected front-wheel angle for feedback correction. Article Title: Dynamic coordinated control strategy of a dual-motor hybrid electric vehicle based on clutch friction torque observer Article Snippet: Based on the Article Title: Estimation of Longitudinal Force, Sideslip Angle and Yaw Rate for Four-Wheel Independent Actuated Autonomous Vehicles Based on PWA Tire Model Article Snippet: In this section, the precision and effectiveness of the proposed Article Title: A Novel Double-Layered Central Pattern Generator-Based Motion Controller for the Hexapod Robot Article Snippet: Each proposed gait is evaluated through the Article Title: ADAS Simulation Result Dataset Processing Based on Improved BP Neural Network Article Snippet: By utilizing the Article Title: Adaptive model predictive control based on stability index for path tracking of autonomous vehicles considering model error Article Snippet: Autonomous vehicle path tracking control based on model predictive control (MPC) still faces some challenges, such as unknown external environment disturbance and parametric modeling uncertainties.. For these problems, this paper puts forward an adaptive model predictive control (AMPC) strategy which combines stability index and model error compensation to improve vehicle path tracking and stability performance.. Firstly, the model error identification scheme based on radial basis function neural network (RBFNN) is designed to estimate the uncertainties of vehicle parametric model. Software:Article Title: Dynamic coordinated control strategy of a dual-motor hybrid electric vehicle based on clutch friction torque observer Article Snippet: Based on the Article Title: Decentralised control strategy for effective utilisation of distributed community energy storage in PV-rich LV distribution network Article Snippet: Integrating a high-capacity residential-scale photovoltaic (PV) system into a low-voltage (LV) network results in voltage rise.. Conversely, voltage drops occur during periods of high demand.. Furthermore, PV generation characteristics vary with seasonality and daily weather conditions, complicating voltage rise and drop management. Article Title: A Study on Lateral Stability Control of Distributed Drive Electric Vehicle Based on Fuzzy Adaptive Sliding Mode Control Article Snippet: This paper presents a joint sliding mode control algorithm with fuzzy adaptive gain to address the problem that the lateral stability of distributed drive electric vehicles is affected by system parameter perturbation and external environment disturbances under steering conditions.. The control system is designed by considering the influence of road conditions and tire nonlinearity, taking the yaw rate and sideslip angle as control variables.. The difference between the expected value and the actual value of the control quantity is taken as the input to obtain the expected front-wheel angle for feedback correction. Article Title: Dynamic coordinated control strategy of a dual-motor hybrid electric vehicle based on clutch friction torque observer Article Snippet: Based on the Article Title: Estimation of Longitudinal Force, Sideslip Angle and Yaw Rate for Four-Wheel Independent Actuated Autonomous Vehicles Based on PWA Tire Model Article Snippet: In this section, the precision and effectiveness of the proposed Article Title: A Novel Double-Layered Central Pattern Generator-Based Motion Controller for the Hexapod Robot Article Snippet: Each proposed gait is evaluated through the Article Title: ADAS Simulation Result Dataset Processing Based on Improved BP Neural Network Article Snippet: By utilizing the Article Title: Adaptive model predictive control based on stability index for path tracking of autonomous vehicles considering model error Article Snippet: Autonomous vehicle path tracking control based on model predictive control (MPC) still faces some challenges, such as unknown external environment disturbance and parametric modeling uncertainties.. For these problems, this paper puts forward an adaptive model predictive control (AMPC) strategy which combines stability index and model error compensation to improve vehicle path tracking and stability performance.. Firstly, the model error identification scheme based on radial basis function neural network (RBFNN) is designed to estimate the uncertainties of vehicle parametric model. |