DocumentCode :
2231657
Title :
Model Checking Interval Probabilistic Timed Automata
Author :
Zhang Junhua ; Zhao Jun ; Huang Zhiqiu ; Cao Zining
Author_Institution :
Coll. of Inf. Sci. & Technol., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China
fYear :
2009
fDate :
26-28 Dec. 2009
Firstpage :
4936
Lastpage :
4940
Abstract :
Interval probabilistic timed automata (IPTA) is put forward extending from probabilistic timed automata, and can be used to model network protocol or fault system with uncertain state transition probability. While we use PTCTL to denote the property of above systems, a solution to model check IPTA against PTCTL is presented. The key problems in the solution are calculating maximum probability and minimum probability on IPTA. To calculate maximum probability on IPTA, we first convert IPTA to interval Markov decision process with loose condition (LIMDP) through backward breath-first traverse based on symbolic state, and then give the strategy to calculate maximum probability on LIMDP. The calculation of minimum probability on IPTA can be converted to calculation of maximum probability on IPTA.
Keywords :
Markov processes; formal verification; probabilistic automata; probability; uncertain systems; fault system; interval Markov decision process; interval probabilistic timed automata; maximum probability; minimum probability; model checking; network protocol model; uncertain state transition probability; Automata; Clocks; Cost accounting; Educational technology; Information science; Probability distribution; Protocols; Space technology; Systems engineering education; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Science and Engineering (ICISE), 2009 1st International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-4909-5
Type :
conf
DOI :
10.1109/ICISE.2009.749
Filename :
5455487
Link To Document :
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