Eric Bradford - RankMe

16 papers Journal 13Unranked 3

Year	Rank	Type	Title / Venue / Authors
2021	J	`jnl`	Hybrid Gaussian Process Modeling Applied to Economic Stochastic Model Predictive Control of Batch Processes. CoRR Eric Bradford, Lars Imsland, Marcus Reble, Ehecatl Antonio del Rio-Chanona
2021	J	`jnl`	Real-time optimization meets Bayesian optimization and derivative-free optimization: A tale of modifier adaptation. Comput. Chem. Eng. Ehecatl Antonio del Rio-Chanona, Panagiotis Petsagkourakis, Eric Bradford, Jose Eduardo Alves Graciano, Benoît Chachuat
2020	J	`jnl`	Chance Constrained Policy Optimization for Process Control and Optimization. CoRR Panagiotis Petsagkourakis, Ilya Orson Sandoval, Eric Bradford, Federico Galvanin, Dongda Zhang, Ehecatl Antonio del Rio-Chanona
2020	J	`jnl`	Constrained Reinforcement Learning for Dynamic Optimization under Uncertainty. CoRR Panagiotis Petsagkourakis, Ilya Orson Sandoval, Eric Bradford, Dongda Zhang, Ehecatl Antonio del Rio-Chanona
2020	J	`jnl`	Modifier Adaptation Meets Bayesian Optimization and Derivative-Free Optimization. CoRR Ehecatl Antonio del Rio-Chanona, Panagiotis Petsagkourakis, Eric Bradford, Jose Eduardo Alves Graciano, Benoît Chachuat
2020	J	`jnl`	Reinforcement learning for batch bioprocess optimization. Comput. Chem. Eng. Panagiotis Petsagkourakis, Ilya Orson Sandoval, Eric Bradford, Dongda Zhang, Ehecatl Antonio del Rio-Chanona
2020	J	`jnl`	Stochastic data-driven model predictive control using gaussian processes. Comput. Chem. Eng. Eric Bradford, Lars Imsland, Dongda Zhang, Ehecatl Antonio del Rio-Chanona
2019	—	`conf`	Nonlinear model predictive control with explicit back-offs for Gaussian process state space models. CDC Eric Bradford, Lars Imsland, Ehecatl Antonio del Rio-Chanona
2019	J	`jnl`	Output feedback stochastic nonlinear model predictive control for batch processes. Comput. Chem. Eng. Eric Bradford, Lars Imsland
2019	—	`conf`	Output feedback stochastic nonlinear model predictive control of a polymerization batch process. ECC Eric Bradford, Marcus Reble, Lars Imsland
2019	J	`jnl`	Reinforcement Learning for Batch Bioprocess Optimization. CoRR Panagiotis Petsagkourakis, Ilya Orson Sandoval, Eric Bradford, Dongda Zhang, Ehecatl Antonio del Rio-Chanona
2019	J	`jnl`	Stochastic data-driven model predictive control using Gaussian processes. CoRR Eric Bradford, Lars Imsland, Dongda Zhang, Ehecatl Antonio del Rio-Chanona
2018	J	`jnl`	Correction to: Efficient multiobjective optimization employing Gaussian processes, spectral sampling and a genetic algorithm. J. Glob. Optim. Eric Bradford, Artur M. Schweidtmann, Alexei A. Lapkin
2018	J	`jnl`	Dynamic modeling and optimization of sustainable algal production with uncertainty using multivariate Gaussian processes. Comput. Chem. Eng. Eric Bradford, Artur M. Schweidtmann, Dongda Zhang, Keju Jing, Ehecatl Antonio del Rio-Chanona
2018	J	`jnl`	Efficient multiobjective optimization employing Gaussian processes, spectral sampling and a genetic algorithm. J. Glob. Optim. Eric Bradford, Artur M. Schweidtmann, Alexei A. Lapkin
2018	—	`conf`	Stochastic Nonlinear Model Predictive Control Using Gaussian Processes. ECC Eric Bradford, Lars Imsland