Algorithmic Minimization of Uncertain Continuous-Time Markov Chains

The assumption of perfect knowledge of rate parameters in continuous-time Markov chains (CTMCs) is undermined when confronted with reality, where they may be uncertain due to lack of information or because of measurement noise. Here we consider uncertain CTMCs (UCTMCs), where rates are assumed to va...

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Vydané v:	IEEE transactions on automatic control Ročník 68; číslo 11; s. 1 - 16
Hlavní autori:	Cardelli, Luca, Grosu, Radu, Larsen, Kim G., Tribastone, Mirco, Tschaikowski, Max, Vandin, Andrea
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.11.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Algorithms Benchmark testing Computational modeling Decision analysis Markov analysis Markov chains Markov processes Minimization Noise measurement Optimization Partitioning algorithms Transient analysis Uncertainty
ISSN:	0018-9286, 1558-2523
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