Optimal Reduced-order Filter for Systems with Deterministic Observations and Stochastic Observations
Abstract: For linear discrete time-invariant systems with deterministic observations and random observations, the optimal reduced-order filtering problem is studied. Some of the state components can ...
Abstract: This paper proposes a novel adaptive fast variational sparse Gaussian process (AFVSGP) framework to ensure real-time safety for high-order systems under model uncertainties and dynamic ...
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