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Disturbance Rejection-Guarded Learning for Vibration Suppression of Two-Inertia Systems
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.
Robust Control Barrier Functions for Safe Control Under Uncertainty Using Extended State Observer and Output Measurement
Our approach provides a less conservative estimation error bound than other disturbance observer-based CBFs.
A General Model-Based Extended State Observer with Built-In Zero Dynamics
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.
A Binary Characterization Method for Shape Convexity and Applications
This paper focuses on characterization methods for convex objects and applications in image processing.
