Joel Paulson
Joel Paulson
Assistant Professor of Chemical and Biomolecular Engineering, The Ohio State University
Verified email at - Homepage
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Stochastic model predictive control—how does it work?
TAN Heirung, JA Paulson, J O’Leary, A Mesbah
Computers & Chemical Engineering 114, 158-170, 2018
Stochastic model predictive control with joint chance constraints
JA Paulson, EA Buehler, RD Braatz, A Mesbah
International Journal of Control 93 (1), 126-139, 2020
A combined canonical variate analysis and Fisher discriminant analysis (CVA–FDA) approach for fault diagnosis
B Jiang, X Zhu, D Huang, JA Paulson, RD Braatz
Computers & Chemical Engineering 77, 1-9, 2015
Layer Number Dependence of MoS2 Photoconductivity Using Photocurrent Spectral Atomic Force Microscopic Imaging
Y Son, QH Wang, JA Paulson, CJ Shih, AG Rajan, K Tvrdy, S Kim, ...
ACS nano 9 (3), 2843-2855, 2015
Bifunctional Catalysts for Alkaline Oxygen Reduction Reaction via Promotion of Ligand and Ensemble Effects at Ag/MnOx Nanodomains
DA Slanac, A Lie, JA Paulson, KJ Stevenson, KP Johnston
The Journal of Physical Chemistry C 116 (20), 11032-11039, 2012
Real-time model predictive control for the optimal charging of a lithium-ion battery
M Torchio, NA Wolff, DM Raimondo, L Magni, U Krewer, RB Gopaluni, ...
2015 American Control Conference (ACC), 4536-4541, 2015
An efficient method for stochastic optimal control with joint chance constraints for nonlinear systems
JA Paulson, A Mesbah
International Journal of Robust and Nonlinear Control 29 (15), 5017-5037, 2019
Model predictive control of an integrated continuous pharmaceutical manufacturing pilot plant
A Mesbah, JA Paulson, R Lakerveld, RD Braatz
Organic Process Research & Development 21 (6), 844-854, 2017
Fast stochastic model predictive control of high-dimensional systems
JA Paulson, A Mesbah, S Streif, R Findeisen, RD Braatz
53rd IEEE Conference on decision and Control, 2802-2809, 2014
Approximate closed-loop robust model predictive control with guaranteed stability and constraint satisfaction
JA Paulson, A Mesbah
IEEE Control Systems Letters 4 (3), 719-724, 2020
Arbitrary polynomial chaos for uncertainty propagation of correlated random variables in dynamic systems
JA Paulson, EA Buehler, A Mesbah
IFAC-PapersOnLine 50 (1), 3548-3553, 2017
Ultrasensitive and selective detection of SARS-CoV-2 using thermotropic liquid crystals and image-based machine learning
Y Xu, AM Rather, S Song, JC Fang, RL Dupont, UI Kara, Y Chang, ...
Cell Reports Physical Science 1 (12), 2020
Stability for receding-horizon stochastic model predictive control
JA Paulson, S Streif, A Mesbah
2015 American Control Conference (ACC), 937-943, 2015
A data-driven automatic tuning method for MPC under uncertainty using constrained Bayesian optimization
F Sorourifar, G Makrygirgos, A Mesbah, JA Paulson
IFAC-PapersOnLine 54 (3), 243-250, 2021
Nonlinear model predictive control with explicit backoffs for stochastic systems under arbitrary uncertainty
JA Paulson, A Mesbah
IFAC-PapersOnLine 51 (20), 523-534, 2018
Fast approximate learning-based multistage nonlinear model predictive control using Gaussian processes and deep neural networks
AD Bonzanini, JA Paulson, G Makrygiorgos, A Mesbah
Computers & Chemical Engineering 145, 107174, 2021
Lyapunov-based stochastic nonlinear model predictive control: Shaping the state probability distribution functions
EA Buehler, JA Paulson, A Mesbah
2016 American control conference (ACC), 5389-5394, 2016
Control of self-assembly in micro-and nano-scale systems
JA Paulson, A Mesbah, X Zhu, MC Molaro, RD Braatz
Journal of Process Control 27, 38-49, 2015
Fusion of machine learning and MPC under uncertainty: What advances are on the horizon?
A Mesbah, KP Wabersich, AP Schoellig, MN Zeilinger, S Lucia, ...
2022 American Control Conference (ACC), 342-357, 2022
Formal certification methods for automated vehicle safety assessment
T Zhao, E Yurtsever, JA Paulson, G Rizzoni
IEEE Transactions on Intelligent Vehicles 8 (1), 232-249, 2022
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