Benjamin Decardi-Nelson

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 17

Top Topics

Nonlinear Systems

Model Predictive Control

Distributed Computing

Reinforcement Learning

Top Venues

Comput. Chem. Eng.

Publications

Benjamin Decardi-Nelson, Abdulelah S. Alshehri, Akshay Ajagekar, Fengqi You
Generative AI and Process Systems Engineering: The Next Frontier. CoRR (2024)
Benjamin Decardi-Nelson, Abdulelah S. Alshehri, Akshay Ajagekar, Fengqi You
Generative AI and process systems engineering: The next frontier. Comput. Chem. Eng. 187 (2024)
Benjamin Decardi-Nelson, Jinfeng Liu
Computing control invariant sets of cascade nonlinear systems: Decomposition and distributed computing. Comput. Chem. Eng. 171 (2023)
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 (2023)
Benjamin Decardi-Nelson, Jinfeng Liu
Robust economic MPC of the absorption column in post-combustion carbon capture through zone tracking. CoRR (2022)
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 (2022)
Benjamin Decardi-Nelson, Jinfeng Liu
A distributed control invariant set computing algorithm for nonlinear cascade systems. ACC (2022)
Benjamin Decardi-Nelson, Jinfeng Liu
An efficient implementation of graph-based invariant set algorithm for constrained nonlinear dynamical systems. Comput. Chem. Eng. 164 (2022)
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)
Benjamin Decardi-Nelson, Jinfeng Liu
Computing control invariant sets of nonlinear systems: decomposition and distributed computing. CoRR (2022)
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 (2022)
Benjamin Decardi-Nelson, Jinfeng Liu
Computing robust control invariant sets of constrained nonlinear systems: A graph algorithm approach. Comput. Chem. Eng. 145 (2021)
Benjamin Decardi-Nelson, Jinfeng Liu
Robust economic model predictive control with zone tracking. CoRR (2021)
Sarupa Debnath, Soumya Ranjan Sahoo, Benjamin Decardi-Nelson, Jinfeng Liu
Subsystem decomposition and state estimation of nonlinear processes with implicit time-scale multiplicity. CoRR (2021)
Benjamin Decardi-Nelson, Jinfeng Liu
Computing robust control invariant sets of constrained nonlinear systems: A graph algorithm approach. CoRR (2020)
Yawen Mao, Su Liu, Benjamin Decardi-Nelson, Jinfeng Liu
Min-max economic MPC of networked control systems with transmission delays. ACC (2019)
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)