20 citations · 25 across the 11 of their papers we have counts for
11 papers
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 +3
Implementing carbon capture technology on-board ships holds promise as a solution to facilitate the reduction of carbon intensity in international shipping, as mandated by the Inte…
A semi-centralized multi-agent RL framework for efficient irrigation scheduling
Bernard T. Agyeman, Benjamin Decard-Nelson, Jinfeng Liu +1
This paper proposes a Semi-Centralized Multi-Agent Reinforcement Learning (SCMARL) approach for irrigation scheduling in spatially variable agricultural fields, where management zo…
Optimizing the switching operation in monoclonal antibody production: Economic MPC and reinforcement learning
Sandra A. Obiri, Song Bo, Bernard T. Agyeman +2
Monoclonal antibodies (mAbs) have emerged as indispensable assets in medicine, and are currently at the forefront of biopharmaceutical product development. However, the growing mar…
SMPL: Simulated Industrial Manufacturing and Process Control Learning Environments
Mohan Zhang, Xiaozhou Wang, Benjamin Decardi-Nelson +9
Traditional biological and pharmaceutical manufacturing plants are controlled by human workers or pre-defined thresholds. Modernized factories have advanced process control algorit…
Computing control invariant sets of nonlinear systems: decomposition and distributed computing
Benjamin Decardi-Nelson, Jinfeng Liu
In this work, we present a distributed framework based on the graph algorithm for computing control invariant set for nonlinear cascade systems. The proposed algorithm exploits the…
An efficient implementation of graph-based invariant set algorithm for constrained nonlinear dynamical systems
Benjamin Decardi-Nelsona, Jinfeng Liu
The graph-based invariant set (GIS) algorithm is a promising set-based technique for computing the largest (with respect to inclusion) control invariant set of general discrete-tim…
Sensitivity-based dynamic performance assessment for model predictive control with Gaussian noise
Jiangbang Liu, Song Bo, Benjamin Decardi-Nelson +3
Economic model predictive control and tracking model predictive control are two popular advanced process control strategies used in various of fields. Nevertheless, which one shoul…
Robust economic MPC of the absorption column in post-combustion carbon capture through zone tracking
Benjamin Decardi-Nelson, Jinfeng Liu
Several studies have reported the importance of optimally operating the absorption column in a post-combustion CO2 capture (PCC) plant. It has been demonstrated in our previous wor…
Subsystem decomposition and state estimation of nonlinear processes with implicit time-scale multiplicity
Sarupa Debnath, Soumya Ranjan Sahoo, Benjamin Decardi-Nelson +1
In this work, we propose a subsystem decomposition approach and a distributed estimation scheme for a class of implicit two-time-scale nonlinear systems. Taking the advantage of th…
Robust economic model predictive control with zone tracking
Benjamin Decardi-Nelson, Jinfeng Liu
This paper presents a robust economic model predictive control (EMPC) formulation with zone tracking for discrete-time uncertain nonlinear systems. The proposed design ensures that…
Computing robust control invariant sets of constrained nonlinear systems: A graph algorithm approach
Benjamin Decardi-Nelson, Jinfeng Liu
This paper deals with the computation of the largest robust control invariant sets (RCISs) of constrained nonlinear systems. The proposed approach is based on casting the search fo…