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Research paper

Estimated safe regions · Switching between learning and recovery

A supervisor switches between a learning controller and a predefined corrective controller using an estimated safe region. Corrective-action outcomes update that estimate; the study evaluates pendulum and quadcopter control examples.

Reviewed 2026-11-05 · Source and bibliography checked

Bibliographic details and the editorial overview were checked against the original source. Access conditions and editions are identified with the source.
Original title
A General Framework to Increase Safety of Learning Algorithms for Dynamical Systems Based on Region of Attraction Estimation
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Authors
Zhehua Zhou, Ozgur S. Oguz, Marion Leibold, Martin Buss
DOI
10.1109/tro.2020.2992981
Publication date
2020-10
Source language
en
Edition
IEEE Transactions on Robotics; 2020; DOI 10.1109/tro.2020.2992981
Access
Publisher metadata and open author manuscript
Publication status
Published

Related resources and engineering notes

Source overview

A supervisor switches between a learning controller and a predefined corrective controller using an estimated safe region. Corrective-action outcomes update that estimate; the study evaluates pendulum and quadcopter control examples.

Use and review

Checked author abstract and institutional bibliography. Simplified models and estimated regions do not eliminate failure; corrective-controller reliability and switching conditions require separate validation.

Sources & editions

A General Framework to Increase Safety of Learning Algorithms for Dynamical Systems Based on Region of Attraction Estimation ↗

Institute of Electrical and Electronics Engineers (IEEE) · IEEE Transactions on Robotics; 2020; DOI 10.1109/tro.2020.2992981

IEEE TRO 2020 bibliography; author abstract https://zhehuazhou.github.io/publication/2020general and TUM institutional publication record. Quadcopter evaluation source is TUM-hosted author manuscript.