Neural network co-design of output-feedback CBF, observer, and controller for partially observed continuous-time systems with input constraints, using augmented-state barrier conditions and a validity condition for safety guarantees beyond training data.
Synthesis of controllers for partially-observable systems: A data-driven ap- proach
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Neural Network-based Co-design of Output-Feedback Control Barrier Function and Observer with Input Constraints
Neural network co-design of output-feedback CBF, observer, and controller for partially observed continuous-time systems with input constraints, using augmented-state barrier conditions and a validity condition for safety guarantees beyond training data.