Academic literature on the topic 'Approximate bisimulation'
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Journal articles on the topic "Approximate bisimulation"
Ma, Yanfang. "Quantitative Analysis of Software Approximate Correctness." Mathematical Problems in Engineering 2015 (2015): 1–13. http://dx.doi.org/10.1155/2015/173012.
Full textDeng, Hui, and Jinzhao Wu. "Approximate Bisimulation and Optimization of Software Programs Based on Symbolic-Numeric Computation." Mathematical Problems in Engineering 2013 (2013): 1–19. http://dx.doi.org/10.1155/2013/421926.
Full textYang, Chao, and Yongming Li. "Approximate bisimulation relations for fuzzy automata." Soft Computing 22, no. 14 (November 9, 2017): 4535–47. http://dx.doi.org/10.1007/s00500-017-2913-z.
Full textLiu, Bai, Jinzhao Wu, and Zhucheng Xie. "Approximate Bisimulation Equivalence and Variable Refinement." Applied Mathematics & Information Sciences 8, no. 4 (July 1, 2014): 1959–66. http://dx.doi.org/10.12785/amis/080454.
Full textGebler, Daniel, and Simone Tini. "Compositionality of Approximate Bisimulation for Probabilistic Systems." Electronic Proceedings in Theoretical Computer Science 120 (July 26, 2013): 32–46. http://dx.doi.org/10.4204/eptcs.120.4.
Full textGirard, Antoine, and George J. Pappas. "Approximate bisimulation relations for constrained linear systems." Automatica 43, no. 8 (August 2007): 1307–17. http://dx.doi.org/10.1016/j.automatica.2007.01.019.
Full textGirard, Antoine. "Low-complexity quantized switching controllers using approximate bisimulation." Nonlinear Analysis: Hybrid Systems 10 (November 2013): 34–44. http://dx.doi.org/10.1016/j.nahs.2013.02.001.
Full textWang, Chao, Jinzhao Wu, Hongyan Tan, and Jun Fu. "Approximate reachability and bisimulation equivalences for transition systems." Transactions of Tianjin University 22, no. 1 (February 2016): 19–23. http://dx.doi.org/10.1007/s12209-016-2565-6.
Full textCHOE, Sunseong, Kunihiko HIRAISHI, and Koichi KOBAYASHI. "Approximate Bisimulation for Hybrid Systems Based on Transition Relations." Transactions of the Society of Instrument and Control Engineers 47, no. 12 (2011): 614–20. http://dx.doi.org/10.9746/sicetr.47.614.
Full textStankovic, Aleksandar M., Savo D. Dukic, and Andrija T. Saric. "Approximate Bisimulation-Based Reduction of Power System Dynamic Models." IEEE Transactions on Power Systems 30, no. 3 (May 2015): 1252–60. http://dx.doi.org/10.1109/tpwrs.2014.2342504.
Full textDissertations / Theses on the topic "Approximate bisimulation"
Savo, Đukić. "Redukcija dinamičkih modela elektroenergetskog sistema primenom teorije balansnih realizacija i aproksimativnih bisimulacionih relacija i funkcija." Phd thesis, Univerzitet u Novom Sadu, Fakultet tehničkih nauka u Novom Sadu, 2014. http://dx.doi.org/10.2298/NS20131213DJUKIC.
Full textDissertation describes the existing dynamic model reduction techniques used in control theory and existing techniques that are used for the reduction (equivalencing) of power system dynamic models. A new approach to physics-based reduction of power system dynamic model based on the balanced realization theory is proposed. Use of approximate bisimulation relations for reduction of power system dynamic models is also proposed. Existing techniques and proposed approaches and algorithms are applied to reduce the dynamic models of two considered test systems.
PANAROTTO, Federica. "Measures on probabilistic automata." Doctoral thesis, 2017. http://hdl.handle.net/11562/913985.
Full textIn this thesis we consider nondeterministic probabilistic processes modeled by automata. Our purpose is the analysis of the problem of approximated bisimulations. These relations are used, generally, to simplify the models of some systems and to model agents and attackers in security protocols. For the latter field there are several proposals to use metrics, which are the quantitative analogue of probabilistic bisimilarity and allow a greater precision. A metric is about a degree of similarity between states. Starting from the formalisation of approximate (bi)simulation given in Turrini's work, we define two metrics on states and on distributions. These metrics are based on the concept of error allowed during the simulation of a state with respect to another one. We investigate the relation between these metrics with a largely used one, the Kantorovich metric, and discover that they are equivalent. Then we recast for probabilistic automata the transformer of measures proposed by De Alfaro et al., obtaining a new functional F that is a conservative extension of the transformers proposed in the literature. We show that the minimum fix point of F coincides with its over-aproximated by the measures derived from Turrini's work thus showing the existence of a strict relation between the Turrini’s approximate bisimulations with the literature on metrics.
Books on the topic "Approximate bisimulation"
Topology in Process Calculus: Approximate Correctness and Infinite Evolution of Concurrent Programs. New York, NY: Springer New York, 2001.
Find full textBook chapters on the topic "Approximate bisimulation"
Yan, Gaogao, Li Jiao, Yangjia Li, Shuling Wang, and Naijun Zhan. "Approximate Bisimulation and Discretization of Hybrid CSP." In FM 2016: Formal Methods, 702–20. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-48989-6_43.
Full textBian, Gaoang, and Alessandro Abate. "On the Relationship Between Bisimulation and Trace Equivalence in an Approximate Probabilistic Context." In Lecture Notes in Computer Science, 321–37. Berlin, Heidelberg: Springer Berlin Heidelberg, 2017. http://dx.doi.org/10.1007/978-3-662-54458-7_19.
Full textHarwood, Will, Faron Moller, and Anton Setzer. "Weak Bisimulation Approximants." In Computer Science Logic, 365–79. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11874683_24.
Full textWild, Paul, and Lutz Schröder. "A Quantified Coalgebraic van Benthem Theorem." In Lecture Notes in Computer Science, 551–71. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-71995-1_28.
Full textMurthy, Abhishek, Md Ariful Islam, Ezio Bartocci, Elizabeth M. Cherry, Flavio H. Fenton, James Glimm, Scott A. Smolka, and Radu Grosu. "Approximate Bisimulations for Sodium Channel Dynamics." In Computational Methods in Systems Biology, 267–87. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33636-2_16.
Full textAbate, Alessandro, Marta Kwiatkowska, Gethin Norman, and David Parker. "Probabilistic Model Checking of Labelled Markov Processes via Finite Approximate Bisimulations." In Lecture Notes in Computer Science, 40–58. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-06880-0_2.
Full textConference papers on the topic "Approximate bisimulation"
Pan, Haiyu, Min Zhang, Yixiang Chen, and Hengyang Wu. "Approximate Bisimulation for Metric Doubly Labeled Transition System." In 2011 IEEE 5th International Symposium on Theoretical Aspects of Software Engineering (TASE). IEEE, 2011. http://dx.doi.org/10.1109/tase.2011.22.
Full textJulius, A. A., A. Girard, and G. J. Pappas. "Approximate bisimulation for a class of stochastic hybrid systems." In 2006 American Control Conference. IEEE, 2006. http://dx.doi.org/10.1109/acc.2006.1657467.
Full textPola, Giordano, Antoine Girard, and Paulo Tabuada. "Symbolic models for nonlinear control systems using approximate bisimulation." In 2007 46th IEEE Conference on Decision and Control. IEEE, 2007. http://dx.doi.org/10.1109/cdc.2007.4434911.
Full textXu, Xiangru, Necmiye Ozay, and Vijay Gupta. "Passivity degradation in discrete control implementations: An approximate bisimulation approach." In 2015 54th IEEE Conference on Decision and Control (CDC). IEEE, 2015. http://dx.doi.org/10.1109/cdc.2015.7403293.
Full textXiang, Weiming, and Zhongzhu Shao. "Approximate Bisimulation Relations for Neural Networks and Application to Assured Neural Network Compression." In 2022 American Control Conference (ACC). IEEE, 2022. http://dx.doi.org/10.23919/acc53348.2022.9867845.
Full textDukic, Savo D., Andrija T. Saric, and Aleksandar M. Stankovic. "Approximate bisimulation-based reduction of power system dynamic model with application to transient stability analysis." In 2013 North American Power Symposium (NAPS). IEEE, 2013. http://dx.doi.org/10.1109/naps.2013.6666882.
Full textMa, Guoqi, Linlin Qin, Xinghua Liu, Chun Shi, and Gang Wu. "Approximate bisimulations for constrained discrete-time linear systems (ICCAS 2015)." In 2015 15th International Conference on Control, Automation and Systems (ICCAS). IEEE, 2015. http://dx.doi.org/10.1109/iccas.2015.7364774.
Full textMa, Guoqi, and Xinghua Liu. "Analysis for a class of discrete-time switched systems via approximate bisimulations." In 2016 12th World Congress on Intelligent Control and Automation (WCICA). IEEE, 2016. http://dx.doi.org/10.1109/wcica.2016.7578722.
Full textWild, Paul, Lutz Schröder, Dirk Pattinson, and Barbara König. "A Modal Characterization Theorem for a Probabilistic Fuzzy Description Logic." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. California: International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/263.
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