Safe control under input limits with neural CBF

NSH 4305

Abstract: In theory, control barrier functions (CBFs) provide a convenient means to construct provably safe controllers. However, a typical problem is that the constructed controller will exceed input limits, and merely clipping the inputs will break all safety guarantees. To address this practical flaw, we consider synthesizing a CBF that will respect input limits. We [...]