1 citations · 1 across the 6 of their papers we have counts for
7 papers
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…