The paper derives SDPs that co-design quadratic control barrier functions and linear feedback controllers, certifying worst-case or probabilistic safety for discrete-time uncertain linear systems.
Convex Co-Design of Control Barrier Function and Safe Feedback Controller Under Input Constraints
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abstract
We study the problem of co-designing control barrier functions (CBF) and linear state feedback controllers for continuous-time linear systems. We achieve this by means of a single semi-definite optimization program. Our formulation can handle mixed-relative degree problems without requiring an explicit safe controller. Different L-norm based input limitations can be introduced as convex constraints in the proposed program. We demonstrate our results on an omni-directional car numerical example.
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Synthesis of safety certificates for discrete-time uncertain systems via convex optimization
The paper derives SDPs that co-design quadratic control barrier functions and linear feedback controllers, certifying worst-case or probabilistic safety for discrete-time uncertain linear systems.