Derives an explicit minimax-optimal dual controller for single-input LTI systems that adds randomization for excitation when data is insufficient and reverts to certainty equivalence once sufficient data is collected.
Stochastic model predictive control with active uncer- tainty learning: A survey on dual control.Annual Reviews in Control, 45:107–117
2 Pith papers cite this work. Polarity classification is still indexing.
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A Bayesian inference framework with active probing on bipartite graph models of sensor pipelines outperforms baselines for detecting and mitigating sensor attacks in an inverted pendulum system.
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Minimax optimal dual control -- The single input case
Derives an explicit minimax-optimal dual controller for single-input LTI systems that adds randomization for excitation when data is insufficient and reverts to certainty equivalence once sufficient data is collected.
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Active Bayesian Inference for Robust Control under Sensor False Data Injection Attacks
A Bayesian inference framework with active probing on bipartite graph models of sensor pipelines outperforms baselines for detecting and mitigating sensor attacks in an inverted pendulum system.