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Viser treff 1-18 av 18

2020
1 Bradford, Eric; Imsland, Lars Struen; Zhang, Dongda; Chanona del Rio, Ehecatl Antonio.
Stochastic data-driven model predictive control using gaussian processes. Computers and Chemical Engineering 2020 ;Volum 139.
NTNU Untitled
 
2 Petsagkourakis, Panagiotis; Sandoval, Ilya Orson; Bradford, Eric; Zhang, Dongda; del Rio-Chanona, Ehecatl Antonio.
Reinforcement Learning for Batch Bioprocess Optimization. Computers and Chemical Engineering 2020 ;Volum 133.
NTNU Untitled
 
2019
3 Bradford, Eric; Imsland, Lars Struen.
Output feedback stochastic nonlinear model predictive control for batch processes. Computers and Chemical Engineering 2019 ;Volum 126. s. 434-450
NTNU Untitled
 
4 Bradford, Eric; Imsland, Lars Struen.
Stochastic nonlinear model predictive control of a batch fermentation process. Computer-aided chemical engineering 2019 ;Volum 46. s. 1237-1242
NTNU Untitled
 
5 Bradford, Eric; Imsland, Lars Struen; del Rio Chanona, Ehecatl Antonio.
Nonlinear model predictive control with explicit back-offs for Gaussian process state space models. I: Proceedings of 58th IEEE Conference on Decision and Control (CDC 2019). IEEE Press 2019 ISBN 978-1-7281-1397-5. s. 4747-4754
NTNU Untitled
 
6 Bradford, Eric; Reble, Marcus; Bouaswaig, Ala; Imsland, Lars Struen.
Economic stochastic nonlinear model predictive control of a semi-batch polymerization reaction. IFAC-PapersOnLine 2019 ;Volum 52.(1) s. 667-672
NTNU Untitled
 
7 Bradford, Eric; Reble, Marcus; Imsland, Lars Struen.
Output feedback stochastic nonlinear model predictive control of a polymerization batch process. I: 2019 18th European Control Conference (ECC). IEEE 2019 ISBN 978-3-907144-00-8. s. 3144-3151
NTNU Untitled
 
8 del Rio Chanona, Ehecatl Antonio; Alves Graciano, José Eduardo; Bradford, Eric; Chachuat, Benoit.
Modifier-Adaptation Schemes Employing Gaussian Processes and Trust Regions for Real-Time Optimization. IFAC-PapersOnLine 2019 ;Volum 52.(1) s. 52-57
NTNU Untitled
 
9 del Rio-Chanona, Ehecatl Antonio; Cong, Xiaoying; Bradford, Eric; Zhang, Dongda; Jing, Keju.
Review of advanced physical and data‐driven models for dynamic bioprocess simulation: Case study of algae–bacteria consortium wastewater treatment. Biotechnology and Bioengineering 2019 ;Volum 116.(2) s. 342-353
NTNU Untitled
 
10 Petsagkourakis, Panagiotis; Sandoval, Ilya Orson; Bradford, Eric; Zhang, Dongda; del Rio-Chanona, Ehecatl Antonio.
Reinforcement Learning for Batch-to-Batch Bioprocess Optimisation. Computer-aided chemical engineering 2019 ;Volum 46. s. 919-924
NTNU Untitled
 
2018
11 Bradford, Eric; Imsland, Lars Struen.
Economic Stochastic Model Predictive Control Using the Unscented Kalman Filter. IFAC-PapersOnLine 2018 ;Volum 51.(18) s. 417-422
NTNU Untitled
 
12 Bradford, Eric; Imsland, Lars Struen.
Stochastic NMPC of Batch Processes Using Parameterized Control Policies. Computer-aided chemical engineering 2018 ;Volum 44. s. 625-630
NTNU Untitled
 
13 Bradford, Eric; Imsland, Lars Struen.
Stochastic Nonlinear Model Predictive Control Using Gaussian Processes. I: 2018 European Control Conference (ECC). IEEE 2018 ISBN 978-3-9524-2698-2. s. 1027-1034
NTNU Untitled
 
14 Bradford, Eric; Schweidtmann, Artur M.; Lapkin, Alexei A..
Efficient multiobjective optimization employing Gaussian processes, spectral sampling and a genetic algorithm. Journal of Global Optimization 2018 ;Volum 71.(2) s. 407-438
NTNU Untitled
 
15 Bradford, Eric; Schweidtmann, Artur M.; Zhang, Dongda; Jing, Keju; del Rio-Chanona, Ehecatl Antonio.
Dynamic modeling and optimization of sustainable algal production with uncertainty using multivariate Gaussian processes. Computers and Chemical Engineering 2018 ;Volum 118. s. 143-158
NTNU Untitled
 
16 Schweidtmann, Artur M.; Clayton, Adam D; Holmes, Nicholas; Bradford, Eric; Richard A, Bourne; Lapkin, AA.
Machine learning meets continuous flow chemistry: Automated optimization towards the Pareto front of multiple objectives. Chemical Engineering Journal 2018 ;Volum 352. s. 277-282
NTNU Untitled
 
2017
17 Bradford, Eric Christopher; Imsland, Lars Struen.
Expectation constrained stochastic nonlinear model predictive control of a batch bioreactor. I: 27 European Symposium on Computer Aided Process Engineering. Elsevier 2017 ISBN 978-0-444-63965-3. s. 1621-1626
NTNU Untitled
 
18 Bradford, Eric; Imsland, Lars Struen.
Stochastic Nonlinear Model Predictive Control with State Estimation by Incorporation of the Unscented Kalman Filter. arXiv.org 2017 s. -
NTNU Untitled