Login / Signup
Dongda Zhang
ORCID
Publication Activity (10 Years)
Years Active: 2018-2024
Publications (10 Years): 14
Top Topics
Gaussian Process
Production Processes
Chance Constrained
Reinforcement Learning
Top Venues
CoRR
Comput. Chem. Eng.
</>
Publications
</>
Alexander W. Rogers
,
Amanda Lane
,
Cesar Mendoza
,
Simon Watson
,
Adam Kowalski
,
Philip Martin
,
Dongda Zhang
Integrating knowledge-guided symbolic regression and model-based design of experiments to automate process flow diagram development.
CoRR
(2024)
Miguel Ángel de Carvalho Servia
,
Ilya Orson Sandoval
,
Klaus Hellgardt
,
King Kuok Hii
,
Dongda Zhang
,
Ehecatl Antonio del Rio-Chanona
The Automated Discovery of Kinetic Rate Models - Methodological Frameworks.
CoRR
(2023)
Max Mowbray
,
Panagiotis Petsagkourakis
,
Ehecatl Antonio del Rio-Chanona
,
Dongda Zhang
Safe chance constrained reinforcement learning for batch process control.
Comput. Chem. Eng.
157 (2022)
Max Mowbray
,
Dongda Zhang
,
Ehecatl Antonio del Rio-Chanona
Distributional Reinforcement Learning for Scheduling of (Bio)chemical Production Processes.
CoRR
(2022)
Max Mowbray
,
Panagiotis Petsagkourakis
,
Ehecatl Antonio del Rio-Chanona
,
Robin Smith
,
Dongda Zhang
Safe Chance Constrained Reinforcement Learning for Batch Process Control.
CoRR
(2021)
Elton Pan
,
Panagiotis Petsagkourakis
,
Max Mowbray
,
Dongda Zhang
,
Ehecatl Antonio del Rio-Chanona
Constrained model-free reinforcement learning for process optimization.
Comput. Chem. Eng.
154 (2021)
Panagiotis Petsagkourakis
,
Ilya Orson Sandoval
,
Eric Bradford
,
Dongda Zhang
,
Ehecatl Antonio del Rio-Chanona
Constrained Reinforcement Learning for Dynamic Optimization under Uncertainty.
CoRR
(2020)
Elton Pan
,
Panagiotis Petsagkourakis
,
Max Mowbray
,
Dongda Zhang
,
Antonio del Rio-Chanona
Constrained Model-Free Reinforcement Learning for Process Optimization.
CoRR
(2020)
Panagiotis Petsagkourakis
,
Ilya Orson Sandoval
,
Eric Bradford
,
Federico Galvanin
,
Dongda Zhang
,
Ehecatl Antonio del Rio-Chanona
Chance Constrained Policy Optimization for Process Control and Optimization.
CoRR
(2020)
Panagiotis Petsagkourakis
,
Ilya Orson Sandoval
,
Eric Bradford
,
Dongda Zhang
,
Ehecatl Antonio del Rio-Chanona
Reinforcement learning for batch bioprocess optimization.
Comput. Chem. Eng.
133 (2020)
Eric Bradford
,
Lars Imsland
,
Dongda Zhang
,
Ehecatl Antonio del Rio-Chanona
Stochastic data-driven model predictive control using gaussian processes.
Comput. Chem. Eng.
139 (2020)
Eric Bradford
,
Lars Imsland
,
Dongda Zhang
,
Ehecatl Antonio del Rio-Chanona
Stochastic data-driven model predictive control using Gaussian processes.
CoRR
(2019)
Panagiotis Petsagkourakis
,
Ilya Orson Sandoval
,
Eric Bradford
,
Dongda Zhang
,
Ehecatl Antonio del Rio-Chanona
Reinforcement Learning for Batch Bioprocess Optimization.
CoRR
(2019)
Eric Bradford
,
Artur M. Schweidtmann
,
Dongda Zhang
,
Keju Jing
,
Ehecatl Antonio del Rio-Chanona
Dynamic modeling and optimization of sustainable algal production with uncertainty using multivariate Gaussian processes.
Comput. Chem. Eng.
118 (2018)