38 citations · 50 across the 8 of their papers we have counts for
8 papers
Iterative distributed moving horizon estimation of linear systems with penalties on both system disturbances and noise
Xiaojie Li, Song Bo, Yan Qin +1
In this paper, partition-based distributed state estimation of general linear systems is considered. A distributed moving horizon state estimation scheme is developed via decomposi…
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…
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…
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…
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…
Soil moisture map construction using microwave remote sensors and sequential data assimilation
Bernard T. Agyeman, Song Bo, Soumya R. Sahoo +3
Microwave remote sensors mounted on center pivot irrigation systems provide a feasible approach to obtain soil moisture information, in the form of water content maps, for the impl…
Simultaneous state and parameter estimation: the role of sensitivity analysis
Jianbang Liu, Aristarchus Gnanasekar, Yi Zhang +4
State and parameter estimation is essential for process monitoring and control. Observability plays an important role in both state and parameter estimation. In simultaneous state…
A consensus-based approach for parameter and state estimation of agro-hydrological system
Xunyuan Yin, Song Bo, Jinfeng Liu +1
The development of advanced closed-loop irrigation systems requires accurate soil moisture information. In this work, we address the problem of soil moisture estimation for the agr…