Abstract
This study investigates finite-time observability of probabilistic logical control systems (PLCSs) under three definitions (i.e., finite-time observability with probability one, finite-time single-input sequence observability with probability one, and finite-time arbitrary-input observability with probability one). The authors adopt a parallel extension technique to recast the finite-time observability problem of a PLCS as a finite-time set reachability problem. Then, the finite-time set reachability problem can be transferred to stabilization problem of a logic dynamical system by using the state transfer graph reconstruction method. Necessary and sufficient conditions for finite-time observability under the three definitions are derived respectively. Finally, the proposed methods are illustrated by numerical examples.
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This work was jointly supported by the National Natural Science Foundation of China under Grant Nos. 62103178, 61873284 and 61321003, and NSERC Canada.
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Zhou, R., Guo, Y., Liu, X. et al. Finite-Time Observability of Probabilistic Logical Control Systems. J Syst Sci Complex 36, 1905–1926 (2023). https://doi.org/10.1007/s11424-023-2013-3
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DOI: https://doi.org/10.1007/s11424-023-2013-3