A convex-minimization controller for affine inequalities is approximated by neural networks that act as universal formulas independent of state dimension for bounded input and constraint sizes.
Composingcon- trol barrier functions for complex safety spec- ifications.IEEE Control Systems Letters, 7: 3615–3620
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Universal Formulas for Safe Control and Their Neural Network Approximations
A convex-minimization controller for affine inequalities is approximated by neural networks that act as universal formulas independent of state dimension for bounded input and constraint sizes.