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ORCIDBenjamin Decardi-Nelson
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2020 – today
- 2024
[j4]Benjamin Decardi-Nelson, Abdulelah S. Alshehri, Akshay Ajagekar, Fengqi You
:
Generative AI and process systems engineering: The next frontier. Comput. Chem. Eng. 187: 108723 (2024)- [c5]Benjamin Decardi-Nelson, Akshay Ajagekar, Fengqi You:
Multi-agent Deep Reinforcement Learning for Energy Management in Grid-Responsive Networked Greenhouses. ACC 2024: 129-134 - [i11]Benjamin Decardi-Nelson, Abdulelah S. Alshehri, Akshay Ajagekar, Fengqi You:
Generative AI and Process Systems Engineering: The Next Frontier. CoRR abs/2402.10977 (2024) - [i10]Bernard T. Agyeman, Benjamin Decardi-Nelson, Jinfeng Liu, Sirish L. Shah:
A semi-centralized multi-agent RL framework for efficient irrigation scheduling. CoRR abs/2408.08442 (2024) - 2023
- [j3]Benjamin Decardi-Nelson, Jinfeng Liu:
Computing control invariant sets of cascade nonlinear systems: Decomposition and distributed computing. Comput. Chem. Eng. 171: 108142 (2023) - [i9]Sandra A. Obiri, Song Bo, Bernard T. Agyeman, Benjamin Decardi-Nelson, Jinfeng Liu:
Optimizing the switching operation in monoclonal antibody production: Economic MPC and reinforcement learning. CoRR abs/2308.03928 (2023) - 2022
- [j2]Benjamin Decardi-Nelson, Jinfeng Liu:
An efficient implementation of graph-based invariant set algorithm for constrained nonlinear dynamical systems. Comput. Chem. Eng. 164: 107906 (2022) - [c4]Benjamin Decardi-Nelson, Jinfeng Liu:
A distributed control invariant set computing algorithm for nonlinear cascade systems. ACC 2022: 172-177 - [c3]Mohan Zhang, Xiaozhou Wang, Benjamin Decardi-Nelson, Bo Song, An Zhang, Jinfeng Liu, Sile Tao, Jiayi Cheng, Xiaohong Liu, Dengdeng Yu, Matthew Poon, Animesh Garg:
SMPL: Simulated Industrial Manufacturing and Process Control Learning Environments. NeurIPS 2022 - [i8]Benjamin Decardi-Nelson, Jinfeng Liu:
Robust economic MPC of the absorption column in post-combustion carbon capture through zone tracking. CoRR abs/2201.01814 (2022) - [i7]Jianbang Liu, Song Bo, Benjamin Decardi-Nelson, Jinfeng Liu, Jingtao Hu, Tao Zou:
Sensitivity-based dynamic performance assessment for model predictive control with Gaussian noise. CoRR abs/2201.01828 (2022) - [i6]Benjamin Decardi-Nelson, Jinfeng Liu:
An efficient implementation of graph-based invariant set algorithm for constrained nonlinear dynamical systems. CoRR abs/2202.06111 (2022) - [i5]Benjamin Decardi-Nelson, Jinfeng Liu:
Computing control invariant sets of nonlinear systems: decomposition and distributed computing. CoRR abs/2205.05622 (2022) - [i4]Mohan Zhang, Xiaozhou Wang, Benjamin Decardi-Nelson, Bo Song, An Zhang, Jinfeng Liu, Sile Tao, Jiayi Cheng, Xiaohong Liu, Dengdeng Yu, Matthew Poon, Animesh Garg:
SMPL: Simulated Industrial Manufacturing and Process Control Learning Environments. CoRR abs/2206.08851 (2022) - 2021
- [j1]Benjamin Decardi-Nelson, Jinfeng Liu:
Computing robust control invariant sets of constrained nonlinear systems: A graph algorithm approach. Comput. Chem. Eng. 145: 107177 (2021) - [i3]Benjamin Decardi-Nelson, Jinfeng Liu:
Robust economic model predictive control with zone tracking. CoRR abs/2109.09810 (2021) - [i2]Sarupa Debnath, Soumya Ranjan Sahoo, Benjamin Decardi-Nelson, Jinfeng Liu:
Subsystem decomposition and state estimation of nonlinear processes with implicit time-scale multiplicity. CoRR abs/2110.00618 (2021) - 2020
- [i1]Benjamin Decardi-Nelson, Jinfeng Liu:
Computing robust control invariant sets of constrained nonlinear systems: A graph algorithm approach. CoRR abs/2009.13581 (2020)
2010 – 2019
- 2019
- [c2]Yawen Mao, Su Liu, Benjamin Decardi-Nelson, Jinfeng Liu:
Min-max economic MPC of networked control systems with transmission delays. ACC 2019: 1164-1169 - 2018
- [c1]Benjamin Decardi-Nelson, Su Liu, Jinfeng Liu:
A Comparison of Economic and Tracking Model Predictive Control in a Post Combustion CO2 Capture Process. ACC 2018: 3921-3926
Coauthor Index
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