activity
20202023
most citedSimultaneous state and parameter estimation: the role of sensitivity analysis

38 citations · 73 across the 24 of their papers we have counts for

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Showing 2022Show all

7 papers · 1 filter

eess.SY2022★ 2 cited

A sensitivity-based approach to optimal sensor selection for process networks

Siyu Liu, Xunyuan Yin, Zhichao Pan +1

Sensor selection is critical for state estimation, control and monitoring of nonlinear processes. However, evaluating the performance of each possible combination of out of …

eess.SY2022

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…

eess.SY2022

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…

eess.SY2022

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…

eess.SY2022

Distributed simultaneous state and parameter estimation of nonlinear systems

Siyu Liu, Xunyuan Yin, Jinfeng Liu +1

In this paper, we consider distributed simultaneous state and parameter estimation for a class of nonlinear systems, for which the augmented model comprising both the states and th…

eess.SY2022★ 1 cited

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…

eess.SY2022

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…