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ORCIDJun Chen 0002
Person information
- affiliation: Oakland University, Rochester, MI, USA
- affiliation (former): Idaho National Laboratory, Idaho Falls, ID, USA
- affiliation (2011 - 2014): Iowa State University, Ames, IA, USA
Other persons with the same name
- Jun Chen — disambiguation page
- Jun Chen 0001
![[0000-0003-1376-0167]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-1376-0167")
— Wuhan University, National Engineering Research Center for Multimedia Software, China - Jun Chen 0003 — Peking University, Beijing, China
- Jun Chen 0004 — Tsinghua University, School of Software, Beijing, China
- Jun Chen 0005 — McMaster University, Department of Electrical and Computer Engineering, Hamilton, ON, Canada (and 4 more)
- Jun Chen 0006 — Ningbo University of Technology, Faculty of Science, China
- Jun Chen 0007 — National University of Defense Technology, College of Electronic Science and Engineering, Changsha, China
- Jun Chen 0008 — University of California, Los Angeles, Department of Electrical Engineering, CA, USA (and 1 more)
- Jun Chen 0009 — Queen Mary University of London, School of Engineering and Materials Science, United Kingdom (and 2 more)
- Jun Chen 0010 — Northwest A&F University, College of Animal Science and Technology, Yangling, China
- Jun Chen 0011 — State Key Laboratory of Mathematical Engineering and Advanced Computing, Zhengzhou, China (and 1 more)
- Jun Chen 0012 — Xiamen University, China (and 1 more)
- Jun Chen 0013 — Sun Yat-Sen University, School of Electronics and Information Technology, Guangzhou, China
- Jun Chen 0014 — University of Essex, Centre for Computational Finance and Economic Agents, Colchester, UK
- Jun Chen 0015 — Nanjing University of Information Science and Technology, School of Electronic and Information Engineering, China (and 1 more)
- Jun Chen 0016 — Nanjing University of Science and Technology, School of Automation, China (and 3 more)
- Jun Chen 0017 — KDDI Research Inc., Ultra-realistic Communication Group, Fujimino, Japan
- Jun Chen 0018 — University of Waterloo, Ontario, Canada
- Jun Chen 0019 — Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems, Wuhan, China (and 1 more)
- Jun Chen 0020 — Wuhan University, School of Information Management, China
- Jun Chen 0021 — King Abdullah University of Science and Technology, Thuwal, Saudi Arabia
- Jun Cheng 0005 (aka: Jun Chen 0022) — Southeast University, Jiangning Development Zone, School of Transportation, Nanjing, China
- Jun Chen 0023 — Zhejiang University, Institute of Cyber-Systems and Control, China (and 1 more)
- Jun Chen 0024 — Tsinghua University, Shenzhen International Graduate School, Shenzhen, China (and 1 more)
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2020 – today
- 2024
[j21]Jun Chen, Lei Zhang, Weinan Gao:
Reconfigurable Model Predictive Control for Large Scale Distributed Systems. IEEE Syst. J. 18(2): 965-976 (2024)- [j20]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): 4003-4015 (2024) - [j19]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): 3467-3482 (2024) - [j18]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): 8295-8312 (2024) - [j17]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): 459-468 (2024) - [c19]Xinyu Zhang, Mohammad S. Obaidat, Vincent CS Lee, Duo Xu, Jun Chen:
An Effective Learning Management System for Revealing Student Performance Attributes. CITS 2024: 1-8 - [i4]Xinyu Zhang, Vincent CS Lee, Duo Xu, Jun Chen, Mohammad S. Obaidat:
An Effective Learning Management System for Revealing Student Performance Attributes. CoRR abs/2403.13822 (2024) - [i3]Jun Chen, Anqi Chen, Bingkun Jiang, Mohammad S. Obaidat, Ni Li, Xinyu Zhang:
Cross-subject Brain Functional Connectivity Analysis for Multi-task Cognitive State Evaluation. CoRR abs/2408.15018 (2024) - 2023
- [j16]Jun Chen:
A Probabilistic Test for A-Diagnosability of Stochastic Discrete-Event Systems With Guaranteed Error Bound. IEEE Control. Syst. Lett. 7: 2833-2838 (2023) - [j15]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): 5015-5022 (2023) - [j14]Ali Irshayyid, Jun Chen:
Comparative Study of Cooperative Platoon Merging Control Based on Reinforcement Learning. Sensors 23(2): 990 (2023) - [j13]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): 3547-3555 (2023) - [j12]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): 4208-4222 (2023) - [c18]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: 1759-1766 - [c17]Zhaodong Zhou, Jun Chen, Mingyuan Tao, Peng Zhang, Meng Xu:
Experimental Validation of Event-Triggered Model Predictive Control for Autonomous Vehicle Path Tracking. eIT 2023: 35-40 - 2022
- [j11]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): 183-192 (2022) - [j10]Jun Chen, Ratnesh Kumar:
Stochastic Failure Prognosis of Discrete Event Systems. IEEE Trans. Autom. Control. 67(10): 5487-5492 (2022) - [c16]Jun Chen, Xiangyu Meng, Zhaojian Li:
Reinforcement Learning-based Event-Triggered Model Predictive Control for Autonomous Vehicle Path Following. ACC 2022: 3342-3347 - [c15]Ranya Badawi, Jun Chen:
Enhancing Enumeration-Based Model Predictive Control for DC-DC Boost Converter with Event-Triggered Control. ECC 2022: 723-728 - [i2]Kaixiang Zhang, Kaian Chen, Zhaojian Li, Jun Chen, Yang Zheng:
Privacy-Preserving Data-Enabled Predictive Leading Cruise Control in Mixed Traffic. CoRR abs/2205.10916 (2022) - [i1]Fengying Dang, Dong Chen, Jun Chen, Zhaojian Li:
Event-Triggered Model Predictive Control with Deep Reinforcement Learning for Autonomous Driving. CoRR abs/2208.10302 (2022) - 2021
- [c14]Jun Chen, Zonggen Yi:
Comparison of Event-Triggered Model Predictive Control for Autonomous Vehicle Path Tracking. CCTA 2021: 808-813 - [c13]Jun Chen, Aman Behal, Max Chong Li:
Active Cell Balancing by Model Predictive Control for Real Time Range Extension. CDC 2021: 271-276 - [c12]Jun Chen, Junhui Zhao:
Synthetic Wind Speed Scenarios Generation using Artificial Neural Networks for Probabilistic Analysis of Hybrid Energy Systems. ISIE 2021: 1-6
2010 – 2019
- 2019
- [j9]Xiang Yin, Jun Chen, Zhaojian Li, Shaoyuan Li:
Robust Fault Diagnosis of Stochastic Discrete Event Systems. IEEE Trans. Autom. Control. 64(10): 4237-4244 (2019) - 2018
- [j8]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): 404-408 (2018) - 2017
- [j7]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): 221-231 (2017) - [j6]Jun Chen, Mariam Ibrahim, Ratnesh Kumar:
Quantification of Secrecy in Partially Observed Stochastic Discrete Event Systems. IEEE Trans Autom. Sci. Eng. 14(1): 185-195 (2017) - 2016
- [c11]Mariam Ibrahim, Jun Chen, Ratnesh Kumar:
Quantification of distributed secrecy loss in stochastic discrete event systems under bounded-delay communications. WODES 2016: 373-378 - [c10]Mariam Ibrahim, Jun Chen, Ratnesh Kumar:
A resiliency measure for electrical power systems. WODES 2016: 385-390 - 2015
- [j5]Jun Chen, Ratnesh Kumar:
Failure Detection Framework for Stochastic Discrete Event Systems With Guaranteed Error Bounds. IEEE Trans. Autom. Control. 60(6): 1542-1553 (2015) - [j4]Jun Chen, Ratnesh Kumar:
Stochastic Failure Prognosability of Discrete Event Systems. IEEE Trans. Autom. Control. 60(6): 1570-1581 (2015) - [j3]Jun Chen, Ratnesh Kumar:
Fault Detection of Discrete-Time Stochastic Systems Subject to Temporal Logic Correctness Requirements. IEEE Trans Autom. Sci. Eng. 12(4): 1369-1379 (2015) - [c9]Mariam Ibrahim, Jun Chen, Ratnesh Kumar:
An information theoretic measure for secrecy loss in stochastic discrete event systems. ECAI 2015 - 2014
- [c8]Jun Chen, Ratnesh Kumar:
Failure prognosability of stochastic discrete event systems. ACC 2014: 2041-2046 - [c7]Jun Chen, Ratnesh Kumar:
Failure diagnosis of discrete-time stochastic systems subject to temporal logic correctness requirements. ICNSC 2014: 42-47 - [c6]Mariam Ibrahim, Jun Chen, Ratnesh Kumar:
Secrecy in stochastic discrete event systems. ICNSC 2014: 48-53 - [c5]Jun Chen, Ratnesh Kumar:
Pattern Mining for Predicting Critical Events from Sequential Event Data Log. WODES 2014: 1-6 - 2013
- [j2]Jun Chen, Ratnesh Kumar:
Polynomial Test for Stochastic Diagnosability of Discrete-Event Systems. IEEE Trans Autom. Sci. Eng. 10(4): 969-979 (2013) - [c4]Jun Chen, Ratnesh Kumar:
Online failure diagnosis of stochastic discrete event systems. CACSD 2013: 194-199 - [c3]Jun Chen, Ratnesh Kumar:
Decentralized failure diagnosis of stochastic discrete event systems. CASE 2013: 1083-1088 - 2012
- [j1]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): 834-840 (2012) - [c2]Jun Chen, Ratnesh Kumar:
Polynomial test for Stochastic Diagnosability of discrete event systems. CASE 2012: 521-526 - 2011
- [c1]Jun Chen, Jose Suarez, Peter Molnar, Aman Behal:
Maximum likelihood parameter estimation in a stochastic resonate-and-fire neuronal model. ICCABS 2011: 57-62
Coauthor Index
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last updated on 2024-11-08 21:30 CET by the dblp team
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