2019 Fifth Indian Control Conference (ICC) 2019
DOI: 10.1109/indiancc.2019.8715576
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Event-Triggered Second Moment Stabilization under Markov Packet Drops

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Cited by 2 publications
(16 citation statements)
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“…in the i.i.d. case [21] and in the Markov channel case in [24]). The reason for doing this is that in case of non-action-dependent channels (P 0 = P 1 ), once S j is known, the resulting closed form of the probability functionΩ D (w, ) is the same irrespective of whether we condition the probability in (23)…”
Section: S Jmentioning
confidence: 99%
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“…in the i.i.d. case [21] and in the Markov channel case in [24]). The reason for doing this is that in case of non-action-dependent channels (P 0 = P 1 ), once S j is known, the resulting closed form of the probability functionΩ D (w, ) is the same irrespective of whether we condition the probability in (23)…”
Section: S Jmentioning
confidence: 99%
“…The value of B * defined in Proposition 4.2 can be numerically computed using the procedure in the Appendix, which is based on the proof of Lemma IV.13 in [21]. We now provide a closedform expression of the performance-evaluation function  D ) with its closed form from (21) and that ofΩ D (w, S j ) from (24). Correspondingly, we get an expression that is the sum of multiple infinite series, as in the derivation of  D k in Lemma 4.2.…”
Section: S Jmentioning
confidence: 99%
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