...., Hertkorn, G., Ro¨ssel, C., and Wagner, P., 2002, SUMO (simulation of urban mobility)-an open-source traffic simulation, In Proceedings of the 4th middle East Symposium on Simulation and Modelling (MESM20002), pp. 183 187. Automotive systems Control applications Machine learning Neural Networks...

... Corresponding author. Email: atandale@purdue.edu Email: jain172@purdue.edu Email: meckl@purdue.edu 24 07 2023 24 08 2023 27 08 2023 25 10 2023 diesel aftertreatment system on-board diagnostics SCR aging observer design applied machine learning automotive systems...

.... U.S. Department of Energy 10.13039/100000015 DE-EE0009223 battery electric vehicle social activities trip planner genetic algorithm automotive systems control applications optimization algorithms 1 Paper presented at the 2023 Modeling, Estimation, and Control Conference...

... coefficient slip ratio derivative statistical circles surrogate model dual-path estimation structure automotive systems statistical learning vehicle dynamics and control Vehicle control plays a significant role in improving automotive performance [ 1 ]. With the gradual adoption of machine...

... the author was with Michigan State University. 05 12 2021 20 03 2022 27 03 2022 26 04 2022 automotive systems iterative learning control optimization Most automotive engine controls use both feedforward and feedback control architecture and heavily rely on feedforward...

... following. This letter focuses on the latter. adaptive control automated driving closed-loop reference model path following smooth projection automotive systems control applications vehicle dynamics and control 23 07 2021 04 12 2021 04 12 2021 30 12 2021 1...

... be obtained. Email: weiwenpe@msu.edu Email: hussein.dourra@magna.com Email: zhug@egr.msu.edu transfer case clutch clutch surface friction coefficient traction torque adaptive lookup table recursive least-squares adaptive system automotive systems engine/powertrain systems...

... 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...

... position and velocity profiles for different trajectories characterized by shape parameter Ω Email: tripa043@umn.edu Email: zsun@umn.edu 20 08 2020 07 12 2020 07 12 2020 27 01 2021 automotive systems engine/powertrain systems iterative learning control...

... autonomous ground vehicles driving environment mapping LIDAR obstacle detection off-road autonomy point cloud traversability analysis understory vegetation density automotive systems computational methods identification machine learning modeling optimization algorithms unmanned vehicles...

... of the SLBs, while ensuring the EV load request is match. Email: darpino.2@osu.edu Email: cancian.2@osu.edu 25 10 2019 09 02 2020 16 02 2020 04 03 2020 automotive systems energy storage optimal controls second life batteries The transportation sector...

...@cmu.edu 24 10 2019 18 02 2020 23 02 2020 06 03 2020 automotive systems intelligent transportation systems linear systems robust control vehicle dynamics and control Highly automated vehicles (HAVs) are under intense development, and much of the testing has...

... models have been validated over 10 years using chassis dynamometer test data [ 4 ]. RoadRunner development is more timely now as it allows researchers to perform a large-scale analysis of the energy impacts of CAVs with high accuracy. automotive systems dynamics and control human dynamics...

... 10 2019 08 02 2020 16 02 2020 25 02 2020 oxides of nitrogen (NO X ) control-oriented cycle-averaged NO X model heavy duty diesel engine adiabatic flame temperature model automotive systems control applications dynamics and control engine/powertrain systems estimation...

... to the true values for the nominal model without the need for accurate initialization. Our design is tested in simulation with both the nominal model as well as a high-fidelity model of Autonomoose, the self-driving car of the University of Waterloo. automotive systems estimation intelligent...