Stochastic model predictive control: An overview and perspectives for future research A Mesbah IEEE Control Systems Magazine 36 (6), 30-44, 2016 | 938 | 2016 |
Stochastic nonlinear model predictive control with probabilistic constraints A Mesbah, S Streif, R Findeisen, RD Braatz 2014 American control conference, 2413-2419, 2014 | 268 | 2014 |
Stochastic model predictive control with active uncertainty learning: A Survey on dual control A Mesbah Annual Reviews in Control, 2017 | 210 | 2017 |
Stochastic model predictive control — how does it work? TAN Heirung, J Paulson, J O'Leary, A Mesbah Computers and Chemical Engineering, 2017 | 182 | 2017 |
A review on data-driven linear parameter-varying modeling approaches: A high-purity distillation column case study AA Bachnas, R Tóth, JHA Ludlage, A Mesbah Journal of Process Control 24 (4), 272-285, 2014 | 149 | 2014 |
Stochastic model predictive control with joint chance constraints JA Paulson, EA Buehler, RD Braatz, A Mesbah International Journal of Control, 2017 | 137 | 2017 |
Low-temperature plasma for biology, hygiene, and medicine: Perspective and roadmap M Laroussi, S Bekeschus, M Keidar, A Bogaerts, A Fridman, X Lu, ... IEEE Transactions on Radiation and Plasma Medical Sciences 6 (2), 127-157, 2021 | 117 | 2021 |
Machine learning for modeling, diagnostics, and control of non-equilibrium plasmas A Mesbah, DB Graves Journal of Physics D: Applied Physics 52 (30), 30LT02, 2019 | 115 | 2019 |
A control oriented study on the numerical solution of the population balance equation for crystallization processes A Mesbah, HJM Kramer, AEM Huesman, PMJ Van den Hof Chemical Engineering Science 64 (20), 4262-4277, 2009 | 93 | 2009 |
A comparison of nonlinear observers for output feedback model-based control of seeded batch crystallization processes A Mesbah, AEM Huesman, HJM Kramer, PMJ Van den Hof Journal of Process Control 21 (4), 652-666, 2011 | 92 | 2011 |
Input design for active fault diagnosis TAN Heirung, A Mesbah Annual Reviews in Control 47, 35-50, 2019 | 88 | 2019 |
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, 2018 | 88 | 2018 |
Model Predictive Control of an Integrated Continuous Pharmaceutical Manufacturing Pilot Plant A Mesbah, J Paulson, R Lakerveld, R Braatz Organic Process Research and Development, 2017 | 79 | 2017 |
Kinetic study of acetone-butanol-ethanol fermentation in continuous culture EA Buehler, A Mesbah PLOS One, 2016 | 79 | 2016 |
Towards a biomanufactory on Mars AJ Berliner, JM Hilzinger, AJ Abel, MJ McNulty, G Makrygiorgos, ... Frontiers in Astronomy and Space Sciences 8, 711550, 2021 | 77 | 2021 |
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 | 74 | 2020 |
A model-based control framework for industrial batch crystallization processes A Mesbah, J Landlust, AEM Huesman, HJM Kramer, PJ Jansens, ... Chemical Engineering Research and Design 88 (9), 1223-1233, 2010 | 71 | 2010 |
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 | 69 | 2014 |
Model predictive control with integrated experiment design for output error systems CA Larsson, M Annergren, H Hjalmarsson, CR Rojas, X Bombois, ... 2013 European Control Conference (ECC), 3790-3795, 2013 | 68 | 2013 |
Active fault diagnosis for nonlinear systems with probabilistic uncertainties A Mesbah, S Streif, R Findeisen, RD Braatz IFAC Proceedings Volumes 47 (3), 7079-7084, 2014 | 67 | 2014 |