Dongda Zhang

According to our database, Dongda Zhang authored at least 11 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Integrating knowledge-guided symbolic regression and model-based design of experiments to automate process flow diagram development.

Alexander W. Rogers, Amanda Lane, Cesar Mendoza, Simon Watson, Adam Kowalski, Philip Martin, Dongda Zhang

CoRR, 2024

2023

The Automated Discovery of Kinetic Rate Models - Methodological Frameworks.

Miguel Ángel de Carvalho Servia, Ilya Orson Sandoval, Klaus Hellgardt, King Kuok Hii, Dongda Zhang, Ehecatl Antonio del Rio-Chanona

CoRR, 2023

2022

Distributional Reinforcement Learning for Scheduling of Chemical Production Processes.

Max Mowbray, Dongda Zhang, Ehecatl Antonio del Rio-Chanona

CoRR, 2022

Safe chance constrained reinforcement learning for batch process control.

Max Mowbray, Panagiotis Petsagkourakis, Ehecatl Antonio del Rio-Chanona, Dongda Zhang

Comput. Chem. Eng., 2022

2021

Safe Chance Constrained Reinforcement Learning for Batch Process Control.

Max Mowbray, Panagiotis Petsagkourakis, Ehecatl Antonio del Rio-Chanona, Robin Smith, Dongda Zhang

CoRR, 2021

Constrained model-free reinforcement learning for process optimization.

Elton Pan, Panagiotis Petsagkourakis, Max Mowbray, Dongda Zhang, Ehecatl Antonio del Rio-Chanona

Comput. Chem. Eng., 2021

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

Constrained Reinforcement Learning for Dynamic Optimization under Uncertainty.

Panagiotis Petsagkourakis, Ilya Orson Sandoval, Eric Bradford, Dongda Zhang, Ehecatl Antonio del Rio-Chanona

CoRR, 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

Stochastic data-driven model predictive control using gaussian processes.

Eric Bradford, Lars Imsland, Dongda Zhang, Ehecatl Antonio del Rio-Chanona

Comput. Chem. Eng., 2020

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