TY - GEN
T1 - Probabilistic automata for safety LTL specifications
AU - Kini, Dileep
AU - Viswanathan, Mahesh
PY - 2014
Y1 - 2014
N2 - Automata constructions for logical properties play an important role in the formal analysis of the system both statically and dynamically. In this paper, we present constructions of finite-state probabilistic monitors (FPM) for safety properties expressed in LTL. FPMs are probabilistic automata on infinite words that have a special, absorbing reject state, and given a cut-point λ â̂̂ [0,1], accept all words whose probability of reaching the reject state is at most 1 - λ. We consider Safe-LTL, the collection of LTL formulas built using conjunction, disjunction, next, and release operators, and show that (a) for any formula there is an FPM with cut-point 1 of exponential size that recognizes the models of and (b) there is a family of Safe-LTL formulas, such that the smallest FPM with cut-point 0 for this family is of doubly exponential size. Next, we consider the fragment LTL(G) of Safe-LTL wherein always operator is used instead of release operator and show that for any formula â̂̂ LTL(G) (c) there is an FPM with cut-point 0 of exponential size for P, and (d) there is a robust FPM of exponential size for P, where a robust FPM is one in which the acceptance probability of any word is bounded away from the cut-point. We also show that these constructions are optimal.
AB - Automata constructions for logical properties play an important role in the formal analysis of the system both statically and dynamically. In this paper, we present constructions of finite-state probabilistic monitors (FPM) for safety properties expressed in LTL. FPMs are probabilistic automata on infinite words that have a special, absorbing reject state, and given a cut-point λ â̂̂ [0,1], accept all words whose probability of reaching the reject state is at most 1 - λ. We consider Safe-LTL, the collection of LTL formulas built using conjunction, disjunction, next, and release operators, and show that (a) for any formula there is an FPM with cut-point 1 of exponential size that recognizes the models of and (b) there is a family of Safe-LTL formulas, such that the smallest FPM with cut-point 0 for this family is of doubly exponential size. Next, we consider the fragment LTL(G) of Safe-LTL wherein always operator is used instead of release operator and show that for any formula â̂̂ LTL(G) (c) there is an FPM with cut-point 0 of exponential size for P, and (d) there is a robust FPM of exponential size for P, where a robust FPM is one in which the acceptance probability of any word is bounded away from the cut-point. We also show that these constructions are optimal.
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U2 - 10.1007/978-3-642-54013-4_7
DO - 10.1007/978-3-642-54013-4_7
M3 - Conference contribution
AN - SCOPUS:84958538388
SN - 9783642540127
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 118
EP - 136
BT - Verification, Model Checking, and Abstract Interpretation - 15th International Conference, VMCAI 2014, Proceedings
PB - Springer
T2 - 15th International Conference on Verification, Model Checking, and Abstract Interpretation, VMCAI 2014
Y2 - 20 January 2014 through 21 January 2014
ER -