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

collaborators
Showing 2023Show all

7 papers · 1 filter

stat.AP2023

State estimation for one-dimensional agro-hydrological processes with model mismatch

Zhuangyu Liu, Jinfeng Liu, Shunyi Zhao +2

The importance of accurate soil moisture data for the development of modern closed-loop irrigation systems cannot be overstated. Due to the diversity of soil, it is difficult to ob…

eess.SY2023

Control invariant set enhanced safe reinforcement learning: improved sampling efficiency, guaranteed stability and robustness

Song Bo, Bernard T. Agyeman, Xunyuan Yin +1

Reinforcement learning (RL) is an area of significant research interest, and safe RL in particular is attracting attention due to its ability to handle safety-driven constraints th…

eess.SY2023

Robust MPC with Zone Tracking

Zhiyinan Huang, Jinfeng Liu, Biao Huang

We propose a robust nonlinear model predictive control design with generalized zone tracking (ZMPC) in this work. The proposed ZMPC has guaranteed convergence into the target zone…

eess.SY2023

Distributed economic predictive control of integrated energy systems for enhanced synergy and grid response: A decomposition and cooperation strategy

Long Wu, Xunyuan Yin, Lei Pan +1

The close integration of increasing operating units into an integrated energy system (IES) results in complex interconnections between these units. The strong dynamic interactions…

eess.SY2023

State estimation of a carbon capture process through POD model reduction and neural network approximation

Siyu Liu, Xunyuan Yin, Jinfeng Liu

This paper presents an efficient approach for state estimation of post-combustion CO2 capture plants (PCCPs) by using reduced-order neural network models. The method involves extra…

eess.SY2023

Control invariant set enhanced reinforcement learning for process control: improved sampling efficiency and guaranteed stability

Song Bo, Xunyuan Yin, Jinfeng Liu

Reinforcement learning (RL) is an area of significant research interest, and safe RL in particular is attracting attention due to its ability to handle safety-driven constraints th…

eess.SY2023

Sensor network design for post-combustion CO2 capture plants: economy, complexity and robustness

Siyu Liu, Xunyuan Yin, Jinfeng Liu

State estimation is crucial for the monitoring and control of post-combustion CO2 capture plants (PCCPs). The performance of state estimation is highly reliant on the configuration…