Benjamin Decardi-Nelson

According to our database1, Benjamin Decardi-Nelson authored at least 20 papers between 2018 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2025
Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization.
CoRR, February, 2025

Computing control invariant set using reinforcement learning by leveraging default value function.
Comput. Chem. Eng., 2025

Computer-aided molecular design by aligning generative diffusion models: Perspectives and challenges.
Comput. Chem. Eng., 2025

Carbon capture plant model identification through simultaneous state and parameter estimation with sensitivity analysis.
Proceedings of the 2025 American Control Conference, 2025

2024
A semi-centralized multi-agent RL framework for efficient irrigation scheduling.
CoRR, 2024

Generative AI and process systems engineering: The next frontier.
Comput. Chem. Eng., 2024

Multi-agent Deep Reinforcement Learning for Energy Management in Grid-Responsive Networked Greenhouses.
Proceedings of the American Control Conference, 2024

2023
Computing control invariant sets of cascade nonlinear systems: Decomposition and distributed computing.
Comput. Chem. Eng., March, 2023

Optimizing the switching operation in monoclonal antibody production: Economic MPC and reinforcement learning.
CoRR, 2023

2022
Computing control invariant sets of nonlinear systems: decomposition and distributed computing.
CoRR, 2022

Sensitivity-based dynamic performance assessment for model predictive control with Gaussian noise.
CoRR, 2022

Robust economic MPC of the absorption column in post-combustion carbon capture through zone tracking.
CoRR, 2022

An efficient implementation of graph-based invariant set algorithm for constrained nonlinear dynamical systems.
Comput. Chem. Eng., 2022

SMPL: Simulated Industrial Manufacturing and Process Control Learning Environments.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A distributed control invariant set computing algorithm for nonlinear cascade systems.
Proceedings of the American Control Conference, 2022

2021
Subsystem decomposition and state estimation of nonlinear processes with implicit time-scale multiplicity.
CoRR, 2021

Robust economic model predictive control with zone tracking.
CoRR, 2021

Computing robust control invariant sets of constrained nonlinear systems: A graph algorithm approach.
Comput. Chem. Eng., 2021

2019
Min-max economic MPC of networked control systems with transmission delays.
Proceedings of the 2019 American Control Conference, 2019

2018
A Comparison of Economic and Tracking Model Predictive Control in a Post Combustion CO2 Capture Process.
Proceedings of the 2018 Annual American Control Conference, 2018


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