Jun Chen

47 papers A 1C 3Journal 27Unranked 15
YearRankTypeTitle / Venue / Authors
2026 J jnl
Privacy-Preserving Personalized Autonomous Vehicle Lane Change Using Inverse Reinforcement Learning.
IEEE Trans. Veh. Technol.
Zhaodong Zhou, Jun Chen
2025 J jnl
A General Framework for Detectability in Stochastic Discrete-Event Systems.
IEEE Control. Syst. Lett.
Jun Chen, Feng Lin
2025 J jnl
Comparison of Linear MPC and Explicit MPC for Battery Cell Balancing Control.
Algorithms
Wanqun Yang, Jun Chen
2025 J jnl
Simultaneous Cell State Estimation via Dense Adaptive Extended Kalman Filter.
IEEE Trans. Control. Syst. Technol.
Luke Nuculaj, Jun Chen
2024 J jnl
Active Battery Cell Balancing by Real-Time Model Predictive Control for Extending Electric Vehicle Driving Range.
IEEE Trans Autom. Sci. Eng.
Jun Chen, Aman Behal, Zhaojian Li, Chong Li
2024 J jnl
Event-Triggered Model Predictive Control With Deep Reinforcement Learning for Autonomous Driving.
IEEE Trans. Intell. Veh.
Fengying Dang, Dong Chen, Jun Chen, Zhaojian Li
2024 J jnl
Post-Impact Stability Control for Road Vehicles: State-of-the-Art Methodologies and Perspectives.
IEEE Trans. Intell. Transp. Syst.
Cong Wang, Zhenpo Wang, Lei Zhang, Jun Chen, Dongpu Cao
2024 J jnl
Privacy-Preserving Data-Enabled Predictive Leading Cruise Control in Mixed Traffic.
IEEE Trans. Intell. Transp. Syst.
Kaixiang Zhang, Kaian Chen, Zhaojian Li, Jun Chen, Yang Zheng
2024 J jnl
Reconfigurable Model Predictive Control for Large Scale Distributed Systems.
IEEE Syst. J.
Jun Chen, Lei Zhang, Weinan Gao
2023 J jnl
A Probabilistic Test for A-Diagnosability of Stochastic Discrete-Event Systems With Guaranteed Error Bound.
IEEE Control. Syst. Lett.
Jun Chen
2023 — conf
Battery Cell Imbalance and Electric Vehicles Range: Correlation and NMPC-based Balancing Control.
eIT
Jun Chen, Zhaodong Zhou
2023 J jnl
Comparative Study of Cooperative Platoon Merging Control Based on Reinforcement Learning.
Sensors
Ali Irshayyid, Jun Chen
2023 J jnl
Development of a Four-Wheel Steering Scale Vehicle for Research and Education on Autonomous Vehicle Motion Control.
IEEE Robotics Autom. Lett.
Christopher Rother, Zhaodong Zhou, Jun Chen
2023 J jnl
Event-Triggered Model Predictive Control for Autonomous Vehicle Path Tracking: Validation Using CARLA Simulator.
IEEE Trans. Intell. Veh.
Zhaodong Zhou, Christopher Rother, Jun Chen
2023 — conf
Experimental Validation of Event-Triggered Model Predictive Control for Autonomous Vehicle Path Tracking.
eIT
Zhaodong Zhou, Jun Chen, Mingyuan Tao, Peng Zhang, Meng Xu
2023 J jnl
NMPC-Based Integrated Thermal Management of Battery and Cabin for Electric Vehicles in Cold Weather Conditions.
IEEE Trans. Intell. Veh.
Mohammad R. Hajidavalloo, Jun Chen, Qiuhao Hu, Ziyou Song, Xunyuan Yin, Zhaojian Li
2023 C conf
Study on the Benefits of Integrated Battery and Cabin Thermal Management in Cold Weather Conditions.
ACC
Mohammad R. Hajidavalloo, Jun Chen, Qiuhao Hu, Zhaojian Li
2022 — conf
Enhancing Enumeration-Based Model Predictive Control for DC-DC Boost Converter with Event-Triggered Control.
ECC
Ranya Badawi, Jun Chen
2022 J jnl
Event-Triggered Model Predictive Control with Deep Reinforcement Learning for Autonomous Driving.
CoRR
Fengying Dang, Dong Chen, Jun Chen, Zhaojian Li
2022 J jnl
Generating synthetic wind speed scenarios using artificial neural networks for probabilistic analysis of hybrid energy systems.
Int. J. Model. Identif. Control.
Jun Chen, Junhui Zhao
2022 J jnl
Privacy-Preserving Data-Enabled Predictive Leading Cruise Control in Mixed Traffic.
CoRR
Kaixiang Zhang, Kaian Chen, Zhaojian Li, Jun Chen, Yang Zheng
2022 C conf
Reinforcement Learning-based Event-Triggered Model Predictive Control for Autonomous Vehicle Path Following.
ACC
Jun Chen, Xiangyu Meng, Zhaojian Li
2022 J jnl
Stochastic Failure Prognosis of Discrete Event Systems.
IEEE Trans. Autom. Control.
Jun Chen, Ratnesh Kumar
2021 — conf
Active Cell Balancing by Model Predictive Control for Real Time Range Extension.
CDC
Jun Chen, Aman Behal, Max Chong Li
2021 — conf
Comparison of Event-Triggered Model Predictive Control for Autonomous Vehicle Path Tracking.
CCTA
Jun Chen, Zonggen Yi
2021 — conf
Synthetic Wind Speed Scenarios Generation using Artificial Neural Networks for Probabilistic Analysis of Hybrid Energy Systems.
ISIE
Jun Chen, Junhui Zhao
2019 J jnl
Robust Fault Diagnosis of Stochastic Discrete Event Systems.
IEEE Trans. Autom. Control.
Xiang Yin, Jun Chen, Zhaojian Li, Shaoyuan Li
2018 J jnl
Revised Test for Stochastic Diagnosability of Discrete-Event Systems.
IEEE Trans Autom. Sci. Eng.
Jun Chen, Christoforos Keroglou, Christoforos N. Hadjicostis, Ratnesh Kumar
2017 J jnl
Identification of a stochastic resonate-and-fire neuronal model via nonlinear least squares and maximum likelihood estimation.
Int. J. Model. Identif. Control.
Jun Chen, Peter Molnar, Aman Behal
2017 J jnl
Quantification of Secrecy in Partially Observed Stochastic Discrete Event Systems.
IEEE Trans Autom. Sci. Eng.
Jun Chen, Mariam Ibrahim, Ratnesh Kumar
2016 — conf
A resiliency measure for electrical power systems.
WODES
Mariam Ibrahim, Jun Chen, Ratnesh Kumar
2016 — conf
Quantification of distributed secrecy loss in stochastic discrete event systems under bounded-delay communications.
WODES
Mariam Ibrahim, Jun Chen, Ratnesh Kumar
2015 A conf
An information theoretic measure for secrecy loss in stochastic discrete event systems.
ECAI
Mariam Ibrahim, Jun Chen, Ratnesh Kumar
2015 J jnl
Failure Detection Framework for Stochastic Discrete Event Systems With Guaranteed Error Bounds.
IEEE Trans. Autom. Control.
Jun Chen, Ratnesh Kumar
2015 J jnl
Fault Detection of Discrete-Time Stochastic Systems Subject to Temporal Logic Correctness Requirements.
IEEE Trans Autom. Sci. Eng.
Jun Chen, Ratnesh Kumar
2015 J jnl
Stochastic Failure Prognosability of Discrete Event Systems.
IEEE Trans. Autom. Control.
Jun Chen, Ratnesh Kumar
2014 — —
Failure diagnosis and prognosis in stochastic discrete-event and cyber-physical systems.
Jun Chen
2014 — conf
Failure diagnosis of discrete-time stochastic systems subject to temporal logic correctness requirements.
ICNSC
Jun Chen, Ratnesh Kumar
2014 C conf
Failure prognosability of stochastic discrete event systems.
ACC
Jun Chen, Ratnesh Kumar
2014 — conf
Pattern Mining for Predicting Critical Events from Sequential Event Data Log.
WODES
Jun Chen, Ratnesh Kumar
2014 — conf
Secrecy in stochastic discrete event systems.
ICNSC
Mariam Ibrahim, Jun Chen, Ratnesh Kumar
2013 — conf
Decentralized failure diagnosis of stochastic discrete event systems.
CASE
Jun Chen, Ratnesh Kumar
2013 — conf
Online failure diagnosis of stochastic discrete event systems.
CACSD
Jun Chen, Ratnesh Kumar
2013 J jnl
Polynomial Test for Stochastic Diagnosability of Discrete-Event Systems.
IEEE Trans Autom. Sci. Eng.
Jun Chen, Ratnesh Kumar
2012 — conf
Polynomial test for Stochastic Diagnosability of discrete event systems.
CASE
Jun Chen, Ratnesh Kumar
2012 J jnl
Weighted Least-Squares Approach for Identification of a Reduced-Order Adaptive Neuronal Model.
IEEE Trans. Neural Networks Learn. Syst.
Lingfei Zhi, Jun Chen, Peter Molnar, Aman Behal
2011 — conf
Maximum likelihood parameter estimation in a stochastic resonate-and-fire neuronal model.
ICCABS
Jun Chen, Jose Suarez, Peter Molnar, Aman Behal