... estimation linear least squares optimization electric vehicle energy storage automotive systems identification linear systems modeling % Fit a single exponential with bias: ak = [a0 a1] function [ak,bk] = fitOneExp(t,v) % and bk = [b1]  F = cumtrapz(t,v);  M = [ones(size(t(:))), t...

... 19 09 2024 19 09 2024 11 10 2024 2 Corresponding author. Email: mair@rpi.edu Email: searsk@rpi.edu Email: roessg@rpi.edu Email: agung@ecse.rpi.edu Email: mishrs2@rpi.edu human–machine systems intelligent autonomous vehicles automotive systems...

... 2024 03 10 2024 2 Corresponding author. Email: gplett@uccs.edu Email: whileman@uccs.edu Email: mtrimbol@uccs.edu lithium metal battery transfer function electrochemical impedance parameter estimation state-space model automotive systems control applications energy...

...@anl.gov Email: dkarbowski@anl.gov Automotive systems Cooperative control Model predictive control Unmanned vehicles Vehicle Dynamics and Control ASME Letters in Dynamic Systems and Control. Received July 21, 2024; Accepted manuscript posted September 03, 2024. doi:10.1115/1.4066724...

..., and Control Conference (MECC 2024), Chicago, IL, Oct. 28–30, 2024, Paper No. MECC2024-12. 19 07 2024 30 08 2024 02 09 2024 27 09 2024 hardware-in-the-loop off-road vehicles iterative learning control automotive systems fluid power control U.S. Department of Energy...

...-based control automotive systems engine/powertrain systems sensors and sensor networks U.S. Army Research Laboratory 10.13039/100006754 W911NF-20-2-0161 Controlling the combustion phasing of a compression-ignition engine while the fuel properties are changing in real-time...

...-wheel steering system scale vehicle autonomous vehicle path tracking automotive systems control applications model predictive control References [1] Fagnant , D. J. , and Kockelman , K. , 2015 , “ Preparing a Nation for Autonomous Vehicles: Opportunities, Barriers and Policy...

... automotive systems autonomous systems control applications The drive to develop fully autonomous vehicles is currently a major effort within both industry and academia, with research being conducted on multiple different aspects of the problem—sensing, navigation, control, and many others. One...

... energy in friction brakes rather than recuperating through the electric motors. On the other hand, effective braking is critical for ensuring safe vehicle handling in different driving conditions, such that numerous researchers have investigated the problem over the years. automotive systems...

... uncertainties, such as modeling uncertainties. Directorate for Engineering 10.13039/100000084 2130718 Gaussian process regression stochastic systems automotive systems 21 07 2023 26 11 2023 27 11 2023 08 01 2024 2 Corresponding author. Email...

.... Emails: paugh.29@osu.edu ; paugh.29@buckeyemail.osu.edu Email: zhu.1083@buckeyemail.osu.edu Email: gupta.852@osu.edu Email: canova.1@osu.edu Email: stockar.1@osu.edu 24 07 2023 07 11 2023 07 11 2023 07 12 2023 automotive systems control applications...

..., and giving his valuable input throughout the project. We would also like to thank Dr. Pingen Chen for his invaluable guidance and help as our collaborator in this project. diesel aftertreatment system on-board diagnostics SCR aging observer design applied machine learning automotive systems...

... algorithm automotive systems control applications optimization algorithms 25 07 2023 18 09 2023 18 09 2023 25 10 2023 2 Corresponding author. Email: pchen@tntech.edu Email: mlamantia42@tntech.edu Email: zsu42@tntech.edu Fig. 7 Results with respect...

...: zhug@egr.msu.edu 19 12 2022 18 03 2023 24 03 2023 27 04 2023 tire-road friction coefficient slip ratio derivative statistical circles surrogate model dual-path estimation structure automotive systems statistical learning vehicle dynamics and control Vehicle...

... automotive systems iterative learning control optimization Most automotive engine controls use both feedforward and feedback control architecture and heavily rely on feedforward control. Therefore, generating the feedforward control strategy is crucial and is done by performing engine calibration...

... 12 2021 adaptive control automated driving closed-loop reference model path following smooth projection automotive systems control applications vehicle dynamics and control The potentials of automated vehicles (AVs) encompass transportation efficiency enhancement, carbon...

... adaptive system automotive systems engine/powertrain systems estimation In modern four-wheel-drive (4WD) vehicles [ 1 ], transfer case clutch plays an important role in traction torque distribution between front and rear wheels. With known engine torque, the torque distribution is realized...

... collision-checking accident severity automotive systems collision avoidance Road traffic accidents cause millions of injuries and deaths each year in the United States alone. Accident research has shown that although mechanical failures cause some accidents, most accidents are due to human errors...

... sources (fuel and electricity), energy-efficient driving can further benefit fuel economy beyond what can be achieved with an optimal power-split on ordinary human driving. automotive systems iterative learning control model predictive control optimal controls predictive control for nonlinear...

...@umn.edu 20 08 2020 07 12 2020 07 12 2020 27 01 2021 automotive systems engine/powertrain systems iterative learning control The globally growing concern for reducing emissions and improving fuel efficiency has provided a significant push to the research effort...