Algebraic Driver Steering Model Parameter Identification

Article Properties
  • Language
    English
  • DOI (url)
  • Publication Date
    2022/02/21
  • Indian UGC (journal)
  • Refrences
    42
  • Citations
    6
  • Zejiang Wang Walker Department of Mechanical Engineering, The University of Texas at Austin , Austin, TX 78731
  • Xingyu Zhou Walker Department of Mechanical Engineering, The University of Texas at Austin , Austin, TX 78731
  • Heran Shen Walker Department of Mechanical Engineering, The University of Texas at Austin , Austin, TX 78731
  • Junmin Wang Walker Department of Mechanical Engineering, The University of Texas at Austin , Austin, TX 78731
Abstract
Cite
Wang, Zejiang, et al. “Algebraic Driver Steering Model Parameter Identification”. Journal of Dynamic Systems, Measurement and Control, vol. 144, no. 5, 2022, https://doi.org/10.1115/1.4053431.
Wang, Z., Zhou, X., Shen, H., & Wang, J. (2022). Algebraic Driver Steering Model Parameter Identification. Journal of Dynamic Systems, Measurement and Control, 144(5). https://doi.org/10.1115/1.4053431
Wang, Zejiang, Xingyu Zhou, Heran Shen, and Junmin Wang. “Algebraic Driver Steering Model Parameter Identification”. Journal of Dynamic Systems, Measurement and Control 144, no. 5 (2022). https://doi.org/10.1115/1.4053431.
Wang Z, Zhou X, Shen H, Wang J. Algebraic Driver Steering Model Parameter Identification. Journal of Dynamic Systems, Measurement and Control. 2022;144(5).
Journal Categories
Science
Mathematics
Instruments and machines
Technology
Electrical engineering
Electronics
Nuclear engineering
Electronics
Technology
Engineering (General)
Civil engineering (General)
Technology
Mechanical engineering and machinery
Refrences
Title Journal Journal Categories Citations Publication Date
Robust steering assistance control for tracking large-curvature path considering uncertainties of driver’s steering behavior

Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering
  • Technology: Mechanical engineering and machinery
  • Technology: Engineering (General). Civil engineering (General): Transportation engineering
  • Technology: Mechanical engineering and machinery
  • Technology: Engineering (General). Civil engineering (General)
16 2021
Driver-behavior-based robust steering control of unmanned driving robotic vehicle with modeling uncertainties and external disturbance

Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering
  • Technology: Mechanical engineering and machinery
  • Technology: Engineering (General). Civil engineering (General): Transportation engineering
  • Technology: Mechanical engineering and machinery
  • Technology: Engineering (General). Civil engineering (General)
5 2020
Real-time characterisation of driver steering behaviour Vehicle System Dynamics
  • Technology: Mechanical engineering and machinery
  • Technology: Mechanical engineering and machinery
  • Technology: Engineering (General). Civil engineering (General)
9 2019
Driver-Automation Cooperation Oriented Approach for Shared Control of Lane Keeping Assist Systems IEEE Transactions on Control Systems Technology
  • Technology: Mechanical engineering and machinery
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Technology: Mechanical engineering and machinery
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Engineering (General). Civil engineering (General)
2019
Investigation of the Driver's Arm Viscoelastic Properties During Steering Vehicle Maneuver 2017
Refrences Analysis
The category Technology: Mechanical engineering and machinery 31 is the most frequently represented among the references in this article. It primarily includes studies from Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering and IEEE Transactions on Intelligent Transportation Systems. The chart below illustrates the number of referenced publications per year.
Refrences used by this article by year
Citations
Title Journal Journal Categories Citations Publication Date
An Experimental Comparison of Physics-based and Machine-Learning-based Electric Vehicle Energy Consumption Estimation Methods IFAC-PapersOnLine 2023
Active Suspension Parameters Identification: An Algebraic Approach and its Application to Suspension Travel Control IFAC-PapersOnLine 2023
Personalized Ground Vehicle Lane-Keeping Assist System Design: An Adaptive Sliding Mode Control Formulation With L1+α Reachability IFAC-PapersOnLine 2023
Driver-Centric Lane-Keeping Assistance System Design: A Noncertainty-Equivalent Neuro-Adaptive Control Approach IEEE/ASME Transactions on Mechatronics
  • Technology: Mechanical engineering and machinery
  • Technology: Manufactures
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Technology: Mechanical engineering and machinery
  • Technology: Mechanical engineering and machinery
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Engineering (General). Civil engineering (General)
4 2023
Extremum-Seeking-Based Ultra-local Model Predictive Control and Its Application to Electric Motor Speed Regulation IFAC-PapersOnLine 2022
Citations Analysis
The category Technology: Mechanical engineering and machinery 1 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Individualizable Vehicle Lane Keeping Assistance System Design: A Linear-Programming-Based Model Predictive Control Approach and was published in 2022. The most recent citation comes from a 2023 study titled Personalized Ground Vehicle Lane-Keeping Assist System Design: An Adaptive Sliding Mode Control Formulation With L1+α Reachability. This article reached its peak citation in 2023, with 4 citations. It has been cited in 2 different journals. Among related journals, the IFAC-PapersOnLine cited this research the most, with 5 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year