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...

詳細記述

書誌詳細
主要な著者: Cardelli, L, Grosu, R, Larsen, KG, Tribastone, M, Tschaikowski, M, Vandin, A
フォーマット: Journal article
言語:English
出版事項: IEEE 2023