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Keywords: driver model parameter identificationClose
Proc. ASME. DSCC2020, Volume 1: Adaptive/Intelligent Sys. Control; Driver Assistance/Autonomous Tech.; Control Design Methods; Nonlinear Control; Robotics; Assistive/Rehabilitation Devices; Biomedical/Neural Systems; Building Energy Systems; Connected Vehicle Systems; Control/Estimation of Energy Systems; Control Apps.; Smart Buildings/Microgrids; Education; Human-Robot Systems; Soft Mechatronics/Robotic Components/Systems; Energy/Power Systems; Energy Storage; Estimation/Identification; Vehicle Efficiency/Emissions, V001T02A001, October 5–7, 2020
Paper No: DSCC2020-3113
... identification has been applied to achieve an authentic PDAS. The commonly employed online driver model parameter identification approach is the Least Square (LS) method. However, LS, leaning on the classical Persistence of Excitation (PE) condition, may have slow estimation convergence. Alternatively...