Abstract
In this chapter, the problem of event-based state estimation is analyzed using an approach called “set-valued filtering”. With this approach, the design of an event-based estimator becomes a much simpler task. The main benefit of using the set-valued filtering approach is that the properties of the event-based estimates designed for deterministic event-triggering conditions can be analyzed without relying on any assumptions or approximations of the probability distributions. The properties of the set-valued event-based estimates also lead to a new way of designing event-triggering conditions to simultaneously fulfill requirements on the estimation performance and the sensor-to-estimator communication rate.
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Shi, D., Shi, L., Chen, T. (2016). A Set-Valued Filtering Approach. In: Event-Based State Estimation. Studies in Systems, Decision and Control, vol 41. Springer, Cham. https://doi.org/10.1007/978-3-319-26606-0_7
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DOI: https://doi.org/10.1007/978-3-319-26606-0_7
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