A two-time-scale dynamic implementation enables locally computable approximations of networked control barrier function safety filters with explicit bounds on trajectory mismatch and safety degradation.
Control, learning, and optimization methods for autonomous multi-agent sys- tems in transportation
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Local Safety Filters for Networked Systems via Two-Time-Scale Design
A two-time-scale dynamic implementation enables locally computable approximations of networked control barrier function safety filters with explicit bounds on trajectory mismatch and safety degradation.