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Jun Chen
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Dynamic performance analysis of two regional nuclear hybrid energy systems
HE Garcia, J Chen, JS Kim, RB Vilim, WR Binder, SMB Sitton, ...
Energy 107, 234-258, 2016
942016
Raven user manual
C Rabiti, A Alfonsi, J Cogliati, D Mandelli, R Kinoshita, S Sen, C Wang, ...
Idaho National Lab.(INL), Idaho Falls, ID (United States), 2017
89*2017
Modeling, control, and dynamic performance analysis of a reverse osmosis desalination plant integrated within hybrid energy systems
JS Kim, J Chen, HE Garcia
Energy 112, 52-66, 2016
742016
Synthetic wind speed scenarios generation for probabilistic analysis of hybrid energy systems
J Chen, C Rabiti
Energy 120, 507-517, 2017
632017
Stochastic failure prognosability of discrete event systems
J Chen, R Kumar
IEEE Transactions on Automatic Control 60 (6), 1570-1581, 2015
612015
Economic optimization of operations for hybrid energy systems under variable markets
J Chen, HE Garcia
Applied energy 177, 11-24, 2016
562016
Revised test for stochastic diagnosability of discrete-event systems
J Chen, C Keroglou, CN Hadjicostis, R Kumar
IEEE Transactions on Automation Science and Engineering 15 (1), 404-408, 2018
50*2018
Operations optimization of nuclear hybrid energy systems
J Chen, HE Garcia, JS Kim, SM Bragg-Sitton
Nuclear Technology 195 (2), 143-156, 2016
482016
Nuclear-renewable hybrid energy systems: 2016 technology development program plan
SM Bragg-Sitton, R Boardman, C Rabiti, J Suk Kim, M McKellar, ...
Idaho National Lab.(INL), Idaho Falls, ID (United States); Oak Ridge …, 2016
412016
Quantification of secrecy in partially observed stochastic discrete event systems
J Chen, M Ibrahim, R Kumar
IEEE Transactions on Automation Science and Engineering 14 (1), 185-195, 2017
302017
Nuclear hybrid energy systems–regional studies: West Texas & Northeastern Arizona
HE Garcia, J Chen, JS Kim, MG McKellar, WR Deason, RB Vilim, ...
Idaho National Laboratory, 2015
282015
Robust fault diagnosis of stochastic discrete event systems
X Yin, J Chen, Z Li, S Li
IEEE Transactions on Automatic Control 64 (10), 4237-4244, 2019
252019
Failure detection framework for stochastic discrete event systems with guaranteed error bounds
J Chen, R Kumar
IEEE Transactions on Automatic Control 60 (6), 1542-1553, 2015
252015
Weighted least-squares approach for identification of a reduced-order adaptive neuronal model
L Zhi, J Chen, P Molnar, A Behal
IEEE transactions on neural networks and learning systems 23 (5), 834-840, 2012
252012
Failure prognosability of stochastic discrete event systems
J Chen, R Kumar
2014 American Control Conference, 2041-2046, 2014
222014
Maximum likelihood parameter estimation in a stochastic resonate-and-fire neuronal model
J Chen, J Suarez, P Molnar, A Behal
2011 IEEE 1st International Conference on Computational Advances in Bio and …, 2011
192011
Status on the Development of a Modeling and Simulation Framework for the Economic Assessment of Nuclear Hybrid Energy Systems (FY 16)
A Epiney, J Chen, C Rabiti
Idaho National Laboratory, 2016
172016
Decentralized failure diagnosis of stochastic discrete event systems
J Chen, R Kumar
2013 IEEE International Conference on Automation Science and Engineering …, 2013
162013
Secrecy in stochastic discrete event systems
M Ibrahim, J Chen, R Kumar
Proceedings of the 11th IEEE International Conference on Networking, Sensing …, 2014
152014
Pattern mining for predicting critical events from sequential event data log
J Chen, R Kumar
IFAC Proceedings Volumes 47 (2), 1-6, 2014
142014
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