Abstract
In this chapter, approximate approaches to event-based estimator design are introduced. The approximation techniques are mainly utilized to handle the non-Gaussian distributions caused by the exploitation of the event-triggered measurement information. Although the precision of the approximations on estimation performance cannot be theoretically verified, the benefit is that the computational complexity of the resultant estimators can be greatly reduced, which is helpful in real-time application and implementation of event-based estimation algorithms.
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Shi, D., Shi, L., Chen, T. (2016). Approximate Event-Triggering Approaches. 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_4
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DOI: https://doi.org/10.1007/978-3-319-26606-0_4
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