Jun Chen
Orcid: 0000-0002-0934-8519Affiliations:
- Oakland University, Rochester, MI, USA
- Idaho National Laboratory, Idaho Falls, ID, USA (former)
- Iowa State University, Ames, IA, USA (2011 - 2014)
According to our database1,
Jun Chen
authored at least 36 papers
between 2011 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on zbmath.org
-
on scopus.com
-
on orcid.org
On csauthors.net:
Bibliography
2024
Event-Triggered Model Predictive Control With Deep Reinforcement Learning for Autonomous Driving.
IEEE Trans. Intell. Veh., January, 2024
An Effective Learning Management System for Revealing Student Performance Attributes.
CoRR, 2024
2023
NMPC-Based Integrated Thermal Management of Battery and Cabin for Electric Vehicles in Cold Weather Conditions.
IEEE Trans. Intell. Veh., September, 2023
Event-Triggered Model Predictive Control for Autonomous Vehicle Path Tracking: Validation Using CARLA Simulator.
IEEE Trans. Intell. Veh., June, 2023
Comparative Study of Cooperative Platoon Merging Control Based on Reinforcement Learning.
Sensors, January, 2023
Development of a Four-Wheel Steering Scale Vehicle for Research and Education on Autonomous Vehicle Motion Control.
IEEE Robotics Autom. Lett., 2023
A Probabilistic Test for A-Diagnosability of Stochastic Discrete-Event Systems With Guaranteed Error Bound.
IEEE Control. Syst. Lett., 2023
Experimental Validation of Event-Triggered Model Predictive Control for Autonomous Vehicle Path Tracking.
Proceedings of the IEEE International Conference on Electro Information Technology, 2023
Study on the Benefits of Integrated Battery and Cabin Thermal Management in Cold Weather Conditions.
Proceedings of the American Control Conference, 2023
2022
IEEE Trans. Autom. Control., 2022
Generating synthetic wind speed scenarios using artificial neural networks for probabilistic analysis of hybrid energy systems.
Int. J. Model. Identif. Control., 2022
CoRR, 2022
Enhancing Enumeration-Based Model Predictive Control for DC-DC Boost Converter with Event-Triggered Control.
Proceedings of the European Control Conference, 2022
Reinforcement Learning-based Event-Triggered Model Predictive Control for Autonomous Vehicle Path Following.
Proceedings of the American Control Conference, 2022
2021
Synthetic Wind Speed Scenarios Generation using Artificial Neural Networks for Probabilistic Analysis of Hybrid Energy Systems.
Proceedings of the 30th IEEE International Symposium on Industrial Electronics, 2021
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021
Comparison of Event-Triggered Model Predictive Control for Autonomous Vehicle Path Tracking.
Proceedings of the IEEE Conference on Control Technology and Applications, 2021
2019
IEEE Trans. Autom. Control., 2019
2018
IEEE Trans Autom. Sci. Eng., 2018
2017
IEEE Trans Autom. Sci. Eng., 2017
Identification of a stochastic resonate-and-fire neuronal model via nonlinear least squares and maximum likelihood estimation.
Int. J. Model. Identif. Control., 2017
2016
Proceedings of the 13th International Workshop on Discrete Event Systems, 2016
Quantification of distributed secrecy loss in stochastic discrete event systems under bounded-delay communications.
Proceedings of the 13th International Workshop on Discrete Event Systems, 2016
2015
Fault Detection of Discrete-Time Stochastic Systems Subject to Temporal Logic Correctness Requirements.
IEEE Trans Autom. Sci. Eng., 2015
IEEE Trans. Autom. Control., 2015
Failure Detection Framework for Stochastic Discrete Event Systems With Guaranteed Error Bounds.
IEEE Trans. Autom. Control., 2015
An information theoretic measure for secrecy loss in stochastic discrete event systems.
Proceedings of the 2015 7th International Conference on Electronics, 2015
2014
Proceedings of the 12th International Workshop on Discrete Event Systems, 2014
Proceedings of 11th IEEE International Conference on Networking, Sensing and Control, 2014
Failure diagnosis of discrete-time stochastic systems subject to temporal logic correctness requirements.
Proceedings of 11th IEEE International Conference on Networking, Sensing and Control, 2014
Proceedings of the American Control Conference, 2014
2013
IEEE Trans Autom. Sci. Eng., 2013
Proceedings of the 2013 IEEE International Conference on Automation Science and Engineering, 2013
Proceedings of the 2013 IEEE International Symposium on Computer-Aided Control System Design, 2013
2012
Weighted Least-Squares Approach for Identification of a Reduced-Order Adaptive Neuronal Model.
IEEE Trans. Neural Networks Learn. Syst., 2012
2011
Maximum likelihood parameter estimation in a stochastic resonate-and-fire neuronal model.
Proceedings of the IEEE 1st International Conference on Computational Advances in Bio and Medical Sciences, 2011