A Comparison of Economic and Tracking Model Predictive Control in a Post Combustion CO2 Capture Process. - Benjamin Decardi-Nelson; Su Liu; Jinfeng Liu 001 (ACC, 2018)

Min-max economic MPC of networked control systems with transmission delays. - Yawen Mao; Su Liu; Benjamin Decardi-Nelson; Jinfeng Liu 001 (ACC, 2019)

Computing robust control invariant sets of constrained nonlinear systems: A graph algorithm approach. - Benjamin Decardi-Nelson; Jinfeng Liu 001 (Comput. Chem. Eng., 2021)

Robust economic model predictive control with zone tracking. - Benjamin Decardi-Nelson; Jinfeng Liu 001 (CoRR, 2021)

Subsystem decomposition and state estimation of nonlinear processes with implicit time-scale multiplicity. - Sarupa Debnath; Soumya Ranjan Sahoo; Benjamin Decardi-Nelson; Jinfeng Liu 001 (CoRR, 2021)

A distributed control invariant set computing algorithm for nonlinear cascade systems. - Benjamin Decardi-Nelson; Jinfeng Liu 001 (ACC, 2022)

SMPL: Simulated Industrial Manufacturing and Process Control Learning Environments. - Mohan Zhang; Xiaozhou Wang; Benjamin Decardi-Nelson; Song Bo; An Zhang 007; Jinfeng Liu 001; Sile Tao; Jiayi Cheng; Xiaohong Liu 001; Dengdeng Yu; Matthew Poon; Animesh Garg (NeurIPS, 2022)

An efficient implementation of graph-based invariant set algorithm for constrained nonlinear dynamical systems. - Benjamin Decardi-Nelson; Jinfeng Liu 001 (Comput. Chem. Eng., 2022)

Robust economic MPC of the absorption column in post-combustion carbon capture through zone tracking. - Benjamin Decardi-Nelson; Jinfeng Liu 001 (CoRR, 2022)

Sensitivity-based dynamic performance assessment for model predictive control with Gaussian noise. - Jianbang Liu; Song Bo; Benjamin Decardi-Nelson; Jinfeng Liu 001; Jingtao Hu; Tao Zou (CoRR, 2022)

Computing control invariant sets of nonlinear systems: decomposition and distributed computing. - Benjamin Decardi-Nelson; Jinfeng Liu 001 (CoRR, 2022)

Optimizing the switching operation in monoclonal antibody production: Economic MPC and reinforcement learning. - Sandra A. Obiri; Song Bo; Bernard T. Agyeman; Benjamin Decardi-Nelson; Jinfeng Liu 001 (CoRR, 2023)

Computing control invariant sets of cascade nonlinear systems: Decomposition and distributed computing. - Benjamin Decardi-Nelson; Jinfeng Liu 001 (Comput. Chem. Eng., 2023)

Multi-agent Deep Reinforcement Learning for Energy Management in Grid-Responsive Networked Greenhouses. - Benjamin Decardi-Nelson; Akshay Ajagekar; Fengqi You (ACC, 2024)

Generative AI and process systems engineering: The next frontier. - Benjamin Decardi-Nelson; Abdulelah S. Alshehri; Akshay Ajagekar; Fengqi You (Comput. Chem. Eng., 2024)

A semi-centralized multi-agent RL framework for efficient irrigation scheduling. - Bernard T. Agyeman; Benjamin Decardi-Nelson; Jinfeng Liu 001; Sirish L. Shah (CoRR, 2024)

Carbon capture plant model identification through simultaneous state and parameter estimation with sensitivity analysis. - Song Bo; Sarupa Debnath; Benjamin Decardi-Nelson; Jinfeng Liu 001 (ACC, 2025)

Computer-aided molecular design by aligning generative diffusion models: Perspectives and challenges. - Akshay Ajagekar; Benjamin Decardi-Nelson; Chao Shang 002; Fengqi You (Comput. Chem. Eng., 2025)

Computing control invariant set using reinforcement learning by leveraging default value function. - Song Bo; Bernard T. Agyeman; Benjamin Decardi-Nelson; Haihan Wang; Jinfeng Liu 001 (Comput. Chem. Eng., 2025)

Machine learning-based hybrid dynamic modeling and economic predictive control of carbon capture process for ship decarbonization. - Xuewen Zhang; Kuniadi Wandy Huang; Dat-Nguyen Vo; Minghao Han; Benjamin Decardi-Nelson; Xunyuan Yin (CoRR, 2025)