Maximum likelihood parameter estimation in a stochastic resonate-and-fire neuronal model. - Jun Chen 002; Jose Suarez; Peter Molnar; Aman Behal (ICCABS, 2011)

Weighted Least-Squares Approach for Identification of a Reduced-Order Adaptive Neuronal Model. - Lingfei Zhi; Jun Chen 002; Peter Molnar; Aman Behal (IEEE Trans. Neural Networks Learn. Syst., 2012)

Online failure diagnosis of stochastic discrete event systems. - Jun Chen 002; Ratnesh Kumar 001 (CACSD, 2013)

Decentralized failure diagnosis of stochastic discrete event systems. - Jun Chen 002; Ratnesh Kumar 001 (CASE, 2013)

Polynomial Test for Stochastic Diagnosability of Discrete-Event Systems. - Jun Chen 002; Ratnesh Kumar 001 (IEEE Trans Autom. Sci. Eng., 2013)

Failure prognosability of stochastic discrete event systems. - Jun Chen 002; Ratnesh Kumar 001 (ACC, 2014)

Failure diagnosis of discrete-time stochastic systems subject to temporal logic correctness requirements. - Jun Chen 002; Ratnesh Kumar 001 (ICNSC, 2014)

Secrecy in stochastic discrete event systems. - Mariam Ibrahim; Jun Chen 002; Ratnesh Kumar 001 (ICNSC, 2014)

Pattern Mining for Predicting Critical Events from Sequential Event Data Log. - Jun Chen 002; Ratnesh Kumar 001 (WODES, 2014)

An information theoretic measure for secrecy loss in stochastic discrete event systems. - Mariam Ibrahim; Jun Chen 002; Ratnesh Kumar 001 (ECAI, 2015)

Failure Detection Framework for Stochastic Discrete Event Systems With Guaranteed Error Bounds. - Jun Chen 002; Ratnesh Kumar 001 (IEEE Trans. Autom. Control., 2015)

Stochastic Failure Prognosability of Discrete Event Systems. - Jun Chen 002; Ratnesh Kumar 001 (IEEE Trans. Autom. Control., 2015)

Fault Detection of Discrete-Time Stochastic Systems Subject to Temporal Logic Correctness Requirements. - Jun Chen 002; Ratnesh Kumar 001 (IEEE Trans Autom. Sci. Eng., 2015)

Quantification of distributed secrecy loss in stochastic discrete event systems under bounded-delay communications. - Mariam Ibrahim; Jun Chen 002; Ratnesh Kumar 001 (WODES, 2016)

A resiliency measure for electrical power systems. - Mariam Ibrahim; Jun Chen 002; Ratnesh Kumar 001 (WODES, 2016)

Identification of a stochastic resonate-and-fire neuronal model via nonlinear least squares and maximum likelihood estimation. - Jun Chen 002; Peter Molnar; Aman Behal (Int. J. Model. Identif. Control., 2017)

Quantification of Secrecy in Partially Observed Stochastic Discrete Event Systems. - Jun Chen 002; Mariam Ibrahim; Ratnesh Kumar 001 (IEEE Trans Autom. Sci. Eng., 2017)

Revised Test for Stochastic Diagnosability of Discrete-Event Systems. - Jun Chen 002; Christoforos Keroglou; Christoforos N. Hadjicostis; Ratnesh Kumar 001 (IEEE Trans Autom. Sci. Eng., 2018)

Robust Fault Diagnosis of Stochastic Discrete Event Systems. - Xiang Yin 003; Jun Chen 002; Zhaojian Li; Shaoyuan Li (IEEE Trans. Autom. Control., 2019)

Comparison of Event-Triggered Model Predictive Control for Autonomous Vehicle Path Tracking. - Jun Chen 002; Zonggen Yi (CCTA, 2021)

Active Cell Balancing by Model Predictive Control for Real Time Range Extension. - Jun Chen 002; Aman Behal; Max Chong Li (CDC, 2021)

Synthetic Wind Speed Scenarios Generation using Artificial Neural Networks for Probabilistic Analysis of Hybrid Energy Systems. - Jun Chen 002; Junhui Zhao (ISIE, 2021)

Reinforcement Learning-based Event-Triggered Model Predictive Control for Autonomous Vehicle Path Following. - Jun Chen 002; Xiangyu Meng 001; Zhaojian Li (ACC, 2022)

Enhancing Enumeration-Based Model Predictive Control for DC-DC Boost Converter with Event-Triggered Control. - Ranya Badawi; Jun Chen 002 (ECC, 2022)

Generating synthetic wind speed scenarios using artificial neural networks for probabilistic analysis of hybrid energy systems. - Jun Chen 002; Junhui Zhao (Int. J. Model. Identif. Control., 2022)

Stochastic Failure Prognosis of Discrete Event Systems. - Jun Chen 002; Ratnesh Kumar 001 (IEEE Trans. Autom. Control., 2022)

Study on the Benefits of Integrated Battery and Cabin Thermal Management in Cold Weather Conditions. - Mohammad R. Hajidavalloo; Jun Chen 002; Quihao Hu; Zhaojian Li (ACC, 2023)

Experimental Validation of Event-Triggered Model Predictive Control for Autonomous Vehicle Path Tracking. - Zhaodong Zhou; Jun Chen 002; Mingyuan Tao; Peng Zhang; Meng Xu (eIT, 2023)

A Probabilistic Test for A-Diagnosability of Stochastic Discrete-Event Systems With Guaranteed Error Bound. - Jun Chen 002 (IEEE Control. Syst. Lett., 2023)

Development of a Four-Wheel Steering Scale Vehicle for Research and Education on Autonomous Vehicle Motion Control. - Christopher Rother; Zhaodong Zhou; Jun Chen 002 (IEEE Robotics Autom. Lett., 2023)

Comparative Study of Cooperative Platoon Merging Control Based on Reinforcement Learning. - Ali Irshayyid; Jun Chen 002 (Sensors, 2023)

Event-Triggered Model Predictive Control for Autonomous Vehicle Path Tracking: Validation Using CARLA Simulator. - Zhaodong Zhou; Christopher Rother; Jun Chen 002 (IEEE Trans. Intell. Veh., 2023)

NMPC-Based Integrated Thermal Management of Battery and Cabin for Electric Vehicles in Cold Weather Conditions. - Mohammad R. Hajidavalloo; Jun Chen 002; Qiuhao Hu; Ziyou Song; Xunyuan Yin; Zhaojian Li (IEEE Trans. Intell. Veh., 2023)

An Effective Learning Management System for Revealing Student Performance Attributes. - Xinyu Zhang 017; Mohammad S. Obaidat; Vincent CS Lee; Duo Xu; Jun Chen 002 (CITS, 2024)

Cross-subject Brain Functional Connectivity Analysis for Multi-task Cognitive State Evaluation. - Jun Chen 002; Anqi Chen; Bingkun Jiang; Mohammad S. Obaidat; Ni Li; Xinyu Zhang 017 (CoRR, 2024)

Event-Triggered Model Predictive Control With Deep Reinforcement Learning for Autonomous Driving. - Fengying Dang; Dong Chen 016; Jun Chen 002; Zhaojian Li (IEEE Trans. Intell. Veh., 2024)

Privacy-Preserving Data-Enabled Predictive Leading Cruise Control in Mixed Traffic. - Kaixiang Zhang 001; Kaian Chen; Zhaojian Li; Jun Chen 002; Yang Zheng 001 (IEEE Trans. Intell. Transp. Syst., 2024)

Reconfigurable Model Predictive Control for Large Scale Distributed Systems. - Jun Chen 002; Lei Zhang 053; Weinan Gao (IEEE Syst. J., 2024)

Active Battery Cell Balancing by Real-Time Model Predictive Control for Extending Electric Vehicle Driving Range. - Jun Chen 002; Aman Behal; Zhaojian Li; Chong Li 005 (IEEE Trans Autom. Sci. Eng., 2024)

Post-Impact Stability Control for Road Vehicles: State-of-the-Art Methodologies and Perspectives. - Cong Wang 038; Zhenpo Wang; Lei Zhang 053; Jun Chen 002; Dongpu Cao (IEEE Trans. Intell. Transp. Syst., 2024)