Benjamin Decardi-Nelson
According to our database1,
Benjamin Decardi-Nelson
authored at least 16 papers
between 2018 and 2024.
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Bibliography
2024
CoRR, 2024
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
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
Computing robust control invariant sets of constrained nonlinear systems: A graph algorithm approach.
Comput. Chem. Eng., 2021
2019
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