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Control Barrier Functions: Theory and Applications

Aaron D. Ames, Samuel Coogan, Magnus Egerstedt, Gennaro Notomista, Koushil Sreenath, Paulo Tabuada

Year
2019
Citations
78

Abstract

This paper provides an introduction and overview of recent work on control barrier functions and their use to verify and enforce safety properties in the context of (optimization based) safety-critical controllers. We survey the main technical results and discuss applications to several domains including robotic systems.

Keywords

Context (archaeology)Computer scienceControl (management)Work (physics)Systems engineeringEngineeringArtificial intelligenceMechanical engineering

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