Abstract
In this chapter, some general ideas and basic results on event-triggered sampling are introduced. The process considered is described by a first-order stochastic differential equation. The goal is to provide the readers with some general understanding and impression on how event-triggered sampling leads to better control performance and how sampling schemes can be designed in some optimal sense.
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References
Åström K, Bernhardsson B (1999) Comparison of periodic and event based sampling for first-order stochastic systems. In: Preprints 14th world congress of IFAC
Feller W (1954) Diffusion processes in one dimension. Trans Am Math Soc 55:1–31
Hajek B, Mitzel K, Yang S (2008) Paging and registration in cellular networks: jointly optimal policies and an iterative algorithm. IEEE Trans Inf Theory 54(2):608–622
Meng X, Chen T (2012) Optimal sampling and performance comparison of periodic and event based impulse control. IEEE Trans Autom Control 57(12):3252–3259
Rabi M, Moustakides G, Baras J (2006) Multiple sampling for estimation on a finite horizon. In: Proceedings of the 45th IEEE conference on decision and control, pp 1351–1357
Rabi M, Johansson K, Johansson M (2008) Optimal stopping for event-triggered sensing and actuation. In: Proceedings of the IEEE conference on decision and control, pp 3607–3612
Rabi M, Moustakides G, Baras J (2012) Adaptive sampling for linear state estimation. SIAM J Control Optim 50(2):672–702
Wang B, Fu M (2014) Comparison of periodic and event-based sampling for linear state estimation. In: Proceedings of IFAC world congress
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© 2016 Springer International Publishing Switzerland
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Shi, D., Shi, L., Chen, T. (2016). Event-Triggered Sampling. 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_2
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DOI: https://doi.org/10.1007/978-3-319-26606-0_2
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