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Eric Bradford
Eric Bradford
KPMG Switzerland
Dirección de correo verificada de KPMG.com
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Machine learning meets continuous flow chemistry: Automated optimization towards the Pareto front of multiple objectives
AM Schweidtmann, AD Clayton, N Holmes, E Bradford, RA Bourne, ...
Chemical Engineering Journal 352, 277-282, 2018
2942018
Efficient multiobjective optimization employing Gaussian processes, spectral sampling and a genetic algorithm
E Bradford, AM Schweidtmann, A Lapkin
Journal of global optimization 71 (2), 407-438, 2018
2482018
Reinforcement learning for batch bioprocess optimization
P Petsagkourakis, IO Sandoval, E Bradford, D Zhang, ...
Computers & Chemical Engineering 133, 106649, 2020
1342020
Stochastic data-driven model predictive control using Gaussian processes
E Bradford, L Imsland, D Zhang, EA del Rio Chanona
Computers & Chemical Engineering 139, 106844, 2020
882020
Mixing performance evaluation for commercially available micromixers using Villermaux–Dushman reaction scheme with the interaction by exchange with the mean model
JM Reckamp, A Bindels, S Duffield, YC Liu, E Bradford, E Ricci, ...
Organic Process Research & Development 21 (6), 816-820, 2017
802017
Dynamic modeling and optimization of sustainable algal production with uncertainty using multivariate Gaussian processes
E Bradford, AM Schweidtmann, D Zhang, K Jing, EA del Rio-Chanona
Computers & Chemical Engineering 118, 143-158, 2018
602018
Real-Time Optimization Meets Bayesian Optimization and Derivative-Free Optimization: A Tale of Modifier Adaptation
EA del Rio Chanona, P Petsagkourakis, E Bradford, JEA Graciano, ...
Computers & Chemical Engineering 147, 107249, 2021
552021
Review of advanced physical and data‐driven models for dynamic bioprocess simulation: Case study of algae–bacteria consortium wastewater treatment
EA Del Rio‐Chanona, X Cong, E Bradford, D Zhang, K Jing
Biotechnology and bioengineering 116 (2), 342-353, 2019
482019
Economic Stochastic Model Predictive Control Using the Unscented Kalman Filter⋆
E Bradford, L Imsland
IFAC-PapersOnLine 51 (18), 417-422, 2018
422018
Stochastic Nonlinear Model Predictive Control Using Gaussian Processes
E Bradford, L Imsland
2018 European Control Conference (ECC), 1027-1034, 2018
382018
Modifier-Adaptation Schemes Employing Gaussian Processes and Trust Regions for Real-Time Optimization⋆
E del Rio Chanona, JA Graciano, E Bradford, B Chachuat
IFAC-PapersOnLine 52 (1), 52-57, 2019
312019
Chance constrained policy optimization for process control and optimization
P Petsagkourakis, IO Sandoval, E Bradford, F Galvanin, D Zhang, ...
Journal of Process Control 111, 35-45, 2022
292022
Pushing nanomaterials up to the kilogram scale–An accelerated approach for synthesizing antimicrobial ZnO with high shear reactors, machine learning and high-throughput analysis
NA Jose, M Kovalev, E Bradford, AM Schweidtmann, HC Zeng, AA Lapkin
Chemical Engineering Journal 426, 131345, 2021
202021
Output feedback stochastic nonlinear model predictive control for batch processes
E Bradford, L Imsland
Computers & Chemical Engineering 126, 434-450, 2019
182019
Nonlinear model predictive control with explicit back-offs for Gaussian process state space models
E Bradford, L Imsland, EA del Rio-Chanona
2019 58th Conference on Decision and Control (CDC), 4747-4754, 2019
182019
Hybrid Gaussian Process Modeling Applied to Economic Stochastic Model Predictive Control of Batch Processes
E Bradford, L Imsland, M Reble, EA del Rio-Chanona
Recent Advances in Model Predictive Control: Theory, Algorithms, and …, 2021
132021
Constrained reinforcement learning for dynamic optimization under uncertainty
P Petsagkourakis, IO Sandoval, E Bradford, D Zhang, EAR Chanona
IFAC-PapersOnLine 53 (2), 11264-11270, 2020
132020
Reinforcement learning for batch-to-batch bioprocess optimisation
P Petsagkourakis, IO Sandoval, E Bradford, D Zhang, ...
Computer Aided Chemical Engineering 46, 919-924, 2019
122019
Expectation constrained stochastic nonlinear model predictive control of a batch bioreactor
E Bradford, L Imsland
Computer Aided Chemical Engineering 40, 1621-1626, 2017
112017
Output feedback stochastic nonlinear model predictive control of a polymerization batch process
E Bradford, M Reble, L Imsland
2019 18th European Control Conference (ECC), 3144-3151, 2019
82019
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