Jun Chen

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 25

Top Topics

Timed Petri Nets

Reinforcement Learning

Model Predictive Control

Top Venues

IEEE Trans Autom. Sci. Eng.

IEEE Trans. Autom. Control.

IEEE Trans. Intell. Veh.

Publications

Jun Chen, Lei Zhang, Weinan Gao
Reconfigurable Model Predictive Control for Large Scale Distributed Systems. IEEE Syst. J. 18 (2) (2024)
Xinyu Zhang, Mohammad S. Obaidat, Vincent CS Lee, Duo Xu, Jun Chen
An Effective Learning Management System for Revealing Student Performance Attributes. CITS (2024)
Xinyu Zhang, Vincent CS Lee, Duo Xu, Jun Chen, Mohammad S. Obaidat
An Effective Learning Management System for Revealing Student Performance Attributes. CoRR (2024)
Fengying Dang, Dong Chen, Jun Chen, Zhaojian Li
Event-Triggered Model Predictive Control With Deep Reinforcement Learning for Autonomous Driving. IEEE Trans. Intell. Veh. 9 (1) (2024)
Kaixiang Zhang, Kaian Chen, Zhaojian Li, Jun Chen, Yang Zheng
Privacy-Preserving Data-Enabled Predictive Leading Cruise Control in Mixed Traffic. IEEE Trans. Intell. Transp. Syst. 25 (5) (2024)
Cong Wang, Zhenpo Wang, Lei Zhang, Jun Chen, Dongpu Cao
Post-Impact Stability Control for Road Vehicles: State-of-the-Art Methodologies and Perspectives. IEEE Trans. Intell. Transp. Syst. 25 (8) (2024)
Jun Chen, Aman Behal, Zhaojian Li, Chong Li
Active Battery Cell Balancing by Real-Time Model Predictive Control for Extending Electric Vehicle Driving Range. IEEE Trans Autom. Sci. Eng. 21 (3) (2024)
Zhaodong Zhou, Christopher Rother, Jun Chen
Event-Triggered Model Predictive Control for Autonomous Vehicle Path Tracking: Validation Using CARLA Simulator. IEEE Trans. Intell. Veh. 8 (6) (2023)
Mohammad R. Hajidavalloo, Jun Chen, Quihao Hu, Zhaojian Li
Study on the Benefits of Integrated Battery and Cabin Thermal Management in Cold Weather Conditions. ACC (2023)
Christopher Rother, Zhaodong Zhou, Jun Chen
Development of a Four-Wheel Steering Scale Vehicle for Research and Education on Autonomous Vehicle Motion Control. IEEE Robotics Autom. Lett. 8 (8) (2023)
Jun Chen
A Probabilistic Test for A-Diagnosability of Stochastic Discrete-Event Systems With Guaranteed Error Bound. IEEE Control. Syst. Lett. 7 (2023)
Mohammad R. Hajidavalloo, Jun Chen, Qiuhao Hu, Ziyou Song, Xunyuan Yin, Zhaojian Li
NMPC-Based Integrated Thermal Management of Battery and Cabin for Electric Vehicles in Cold Weather Conditions. IEEE Trans. Intell. Veh. 8 (9) (2023)
Ali Irshayyid, Jun Chen
Comparative Study of Cooperative Platoon Merging Control Based on Reinforcement Learning. Sensors 23 (2) (2023)
Jun Chen, Ratnesh Kumar
Stochastic Failure Prognosis of Discrete Event Systems. IEEE Trans. Autom. Control. 67 (10) (2022)
Jun Chen, Xiangyu Meng, Zhaojian Li
Reinforcement Learning-based Event-Triggered Model Predictive Control for Autonomous Vehicle Path Following. ACC (2022)
Jun Chen, Junhui Zhao
Generating synthetic wind speed scenarios using artificial neural networks for probabilistic analysis of hybrid energy systems. Int. J. Model. Identif. Control. 41 (3) (2022)
Fengying Dang, Dong Chen, Jun Chen, Zhaojian Li
Event-Triggered Model Predictive Control with Deep Reinforcement Learning for Autonomous Driving. CoRR (2022)
Kaixiang Zhang, Kaian Chen, Zhaojian Li, Jun Chen, Yang Zheng
Privacy-Preserving Data-Enabled Predictive Leading Cruise Control in Mixed Traffic. CoRR (2022)
Jun Chen, Aman Behal, Chong Li
Active Cell Balancing by Model Predictive Control for Real Time Range Extension. CDC (2021)
Xiang Yin, Jun Chen, Zhaojian Li, Shaoyuan Li
Robust Fault Diagnosis of Stochastic Discrete Event Systems. IEEE Trans. Autom. Control. 64 (10) (2019)
Jun Chen, Christoforos Keroglou, Christoforos N. Hadjicostis, Ratnesh Kumar
Revised Test for Stochastic Diagnosability of Discrete-Event Systems. IEEE Trans Autom. Sci. Eng. 15 (1) (2018)
Jun Chen, Mariam Ibrahim, Ratnesh Kumar
Quantification of Secrecy in Partially Observed Stochastic Discrete Event Systems. IEEE Trans Autom. Sci. Eng. 14 (1) (2017)
Jun Chen, Peter Molnar, Aman Behal
Identification of a stochastic resonate-and-fire neuronal model via nonlinear least squares and maximum likelihood estimation. Int. J. Model. Identif. Control. 28 (3) (2017)
Mariam Ibrahim, Jun Chen, Ratnesh Kumar
A resiliency measure for electrical power systems. WODES (2016)
Mariam Ibrahim, Jun Chen, Ratnesh Kumar
Quantification of distributed secrecy loss in stochastic discrete event systems under bounded-delay communications. WODES (2016)
Mariam Ibrahim, Jun Chen, Ratnesh Kumar
An information theoretic measure for secrecy loss in stochastic discrete event systems. ECAI (2015)
Jun Chen, Ratnesh Kumar
Fault Detection of Discrete-Time Stochastic Systems Subject to Temporal Logic Correctness Requirements. IEEE Trans Autom. Sci. Eng. 12 (4) (2015)
Jun Chen, Ratnesh Kumar
Failure Detection Framework for Stochastic Discrete Event Systems With Guaranteed Error Bounds. IEEE Trans. Autom. Control. 60 (6) (2015)
Jun Chen, Ratnesh Kumar
Stochastic Failure Prognosability of Discrete Event Systems. IEEE Trans. Autom. Control. 60 (6) (2015)
Mariam Ibrahim, Jun Chen, Ratnesh Kumar
Secrecy in stochastic discrete event systems. ICNSC (2014)
Jun Chen, Ratnesh Kumar
Failure prognosability of stochastic discrete event systems. ACC (2014)
Jun Chen, Ratnesh Kumar
Failure diagnosis of discrete-time stochastic systems subject to temporal logic correctness requirements. ICNSC (2014)
Jun Chen, Ratnesh Kumar
Pattern Mining for Predicting Critical Events from Sequential Event Data Log. WODES (2014)
Jun Chen, Ratnesh Kumar
Polynomial Test for Stochastic Diagnosability of Discrete-Event Systems. IEEE Trans Autom. Sci. Eng. 10 (4) (2013)
Jun Chen, Ratnesh Kumar
Online failure diagnosis of stochastic discrete event systems. CACSD (2013)
Jun Chen, Ratnesh Kumar
Decentralized failure diagnosis of stochastic discrete event systems. CASE (2013)
Lingfei Zhi, Jun Chen, Peter Molnar, Aman Behal
Weighted Least-Squares Approach for Identification of a Reduced-Order Adaptive Neuronal Model. IEEE Trans. Neural Networks Learn. Syst. 23 (5) (2012)
Jun Chen, Ratnesh Kumar
Polynomial test for Stochastic Diagnosability of discrete event systems. CASE (2012)
Jun Chen, Jose Suarez, Peter Molnar, Aman Behal
Maximum likelihood parameter estimation in a stochastic resonate-and-fire neuronal model. ICCABS (2011)