An information-form surrogate simplifies sensor scheduling optimization for continuous-discrete Kalman filters with stochastic arrivals and supplies two-sided performance bounds.
Robust Kalman filtering for continuous-time systems with discrete-time measurements,
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Scalable Sensor Scheduling for Continuous-Discrete Kalman Filtering via Information-Form Surrogate Dynamics
An information-form surrogate simplifies sensor scheduling optimization for continuous-discrete Kalman filters with stochastic arrivals and supplies two-sided performance bounds.