no code implementations • 16 Apr 2024 • Fan Zhang, Jinfeng Chen, Yu Hu, Zhiqiang Gao, Ge Lv, Qin Lin
On the other hand, machine learning benefits from an additional assurance layer provided by the ESO, as any imperfections in the machine learning model can be compensated for by the ESO.
no code implementations • 26 Aug 2023 • Jinfeng Chen, Zhiqiang Gao, Qin Lin
Our approach provides a less conservative estimation error bound than other disturbance observer-based CBFs.
no code implementations • 25 Aug 2022 • Jinfeng Chen, Zhiqiang Gao, Yu Hu, Sally Shao
A general model-based extended state observer (GMB-ESO) is proposed for single-input single-output linear time-invariant systems with a given state space model, where the total disturbance, a lump sum of model uncertainties and external disturbances, is defined as an extended state in the same manner as in the original formulation of ESO.
no code implementations • 22 Mar 2022 • Shousheng Luo, Jinfeng Chen, Yunhai Xiao, Xue-Cheng Tai
This paper focuses on characterization methods for convex objects and applications in image processing.