1 citations · 2 across the 8 of their papers we have counts for
12 papers
Economic model predictive control of integrated energy systems: A multi-time-scale framework
Long Wu, Xunyuan Yin, Lei Pan +1
In this work, a composite economic model predictive control (CEMPC) is proposed for the optimal operation of a stand-alone integrated energy system (IES). Time-scale multiplicity e…
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…
Model predictive control of agro-hydrological systems based on a two-layer neural network modeling framework
Zhiyinan Huang, Jinfeng Liu, Biao Huang
Water scarcity is an urgent issue to be resolved and improving irrigation water-use efficiency through closed-loop control is essential. The complex agro-hydrological system dynami…
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…