The authors introduce an output-feedback CBF framework using expectation-based barrier conditions and Jensen inequality bounds to conservatively enforce safety in stochastic systems with partial observations.
Safe controller synthesis with tunable input-to-state safe control barrier functions,
2 Pith papers cite this work. Polarity classification is still indexing.
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A unified quadratic program embeds adaptive compensation into AR-CLF and AR-CBF constraints to achieve uniformly ultimately bounded stability and uniform ultimate safety for nonlinear control-affine systems under unbounded exponentially enveloped FDIA.
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Output-Feedback Safe Control of Discrete-Time Stochastic Systems with Chance Constraints
The authors introduce an output-feedback CBF framework using expectation-based barrier conditions and Jensen inequality bounds to conservatively enforce safety in stochastic systems with partial observations.
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A Unified Framework for Attack-Resilient CLF-CBF Quadratic Programs for Nonlinear Control-Affine Systems
A unified quadratic program embeds adaptive compensation into AR-CLF and AR-CBF constraints to achieve uniformly ultimately bounded stability and uniform ultimate safety for nonlinear control-affine systems under unbounded exponentially enveloped FDIA.