Stochastic Nonlinear Model Predictive Control Using Gaussian Processes. - Eric Bradford; Lars Imsland (ECC, 2018)

Dynamic modeling and optimization of sustainable algal production with uncertainty using multivariate Gaussian processes. - Eric Bradford; Artur M. Schweidtmann; Dongda Zhang; Keju Jing; Ehecatl Antonio del Rio-Chanona (Comput. Chem. Eng., 2018)

Efficient multiobjective optimization employing Gaussian processes, spectral sampling and a genetic algorithm. - Eric Bradford; Artur M. Schweidtmann; Alexei A. Lapkin (J. Glob. Optim., 2018)

Correction to: Efficient multiobjective optimization employing Gaussian processes, spectral sampling and a genetic algorithm. - Eric Bradford; Artur M. Schweidtmann; Alexei A. Lapkin (J. Glob. Optim., 2018)

Nonlinear model predictive control with explicit back-offs for Gaussian process state space models. - Eric Bradford; Lars Imsland; Ehecatl Antonio del Rio-Chanona (CDC, 2019)

Output feedback stochastic nonlinear model predictive control of a polymerization batch process. - Eric Bradford; Marcus Reble; Lars Imsland (ECC, 2019)

Output feedback stochastic nonlinear model predictive control for batch processes. - Eric Bradford; Lars Imsland (Comput. Chem. Eng., 2019)

Distributed learning for wind farm optimization with Gaussian processes. - Leif Erik Andersson; Eric Christopher Bradford; Lars Imsland (ACC, 2020)

Stochastic data-driven model predictive control using gaussian processes. - Eric Bradford; Lars Imsland; Dongda Zhang; Ehecatl Antonio del Rio-Chanona (Comput. Chem. Eng., 2020)

Reinforcement learning for batch bioprocess optimization. - Panagiotis Petsagkourakis; Ilya Orson Sandoval; Eric Bradford; Dongda Zhang; Ehecatl Antonio del Rio-Chanona (Comput. Chem. Eng., 2020)

Constrained Reinforcement Learning for Dynamic Optimization under Uncertainty. - Panagiotis Petsagkourakis; Ilya Orson Sandoval; Eric Bradford; Dongda Zhang; Ehecatl Antonio del Rio-Chanona (CoRR, 2020)

Chance Constrained Policy Optimization for Process Control and Optimization. - Panagiotis Petsagkourakis; Ilya Orson Sandoval; Eric Bradford; Federico Galvanin; Dongda Zhang; Ehecatl Antonio del Rio-Chanona (CoRR, 2020)

Modifier Adaptation Meets Bayesian Optimization and Derivative-Free Optimization. - Ehecatl Antonio del Rio-Chanona; Panagiotis Petsagkourakis; Eric Bradford; Jose Eduardo Alves Graciano; Benoît Chachuat (CoRR, 2020)

Real-time optimization meets Bayesian optimization and derivative-free optimization: A tale of modifier adaptation. - Ehecatl Antonio del Rio-Chanona; Panagiotis Petsagkourakis; Eric Bradford; Jose Eduardo Alves Graciano; Benoît Chachuat (Comput. Chem. Eng., 2021)

Hybrid Gaussian Process Modeling Applied to Economic Stochastic Model Predictive Control of Batch Processes. - Eric Bradford; Lars Imsland; Marcus Reble; Ehecatl Antonio del Rio-Chanona (CoRR, 2021)