Relevant bibliographies by topics / Approximate bisimulation

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Approximate bisimulation'

Author: Grafiati
Published: 11 March 2023

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Journal articles on the topic "Approximate bisimulation"

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Ma, Yanfang. "Quantitative Analysis of Software Approximate Correctness." Mathematical Problems in Engineering 2015 (2015): 1–13. http://dx.doi.org/10.1155/2015/173012.

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Parameterized bisimulation provides an abstract description of software correctness. In real world situations, however, many software products are approximately correct. To characterize the approximate correctness, we generalize the parameterized bisimulation to numerical version and probabilistic setting. First, we propose the definition of the parameterized bisimulation index that expresses the degree to which a binary relation is parameterized bisimulation. Then,λ-parameterized bisimulation over environmenteand its substitutivity laws are presented. Finally,λ-parameterized probabilistic bisimulation is established to describe complicated software products with probabilistic phenomena.
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Deng, 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.

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To achieve behavior and structure optimization for a type of software program whose data exchange processes are represented by nonlinear polynomial systems, this paper establishes a novel formal description called a nonlinear polynomial transition system to represent the behavior and structure of the software program. Then, the notion of bisimulation for software programs is proposed based on the equivalence relation of corresponding nonlinear polynomial systems in their nonlinear polynomial transition systems. However, the exact equivalence is too strict in application. To enhance the flexibility of the relation among the different software systems, the notion of approximate bisimulation within a controllable error range and the calculation algorithm of approximate bisimulation based on symbolic-numeric computation are given. In this calculation, an approximate relation is represented as a MAX function that is resolved with the full filled method. At the same time, the actual error is calculable. An example on a multithreading program indicates that the approximate bisimulation relation is feasible and effective in behavior and structure optimization.
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Yang, Chao, and Yongming Li. "Approximate bisimulation relations for fuzzy automata." Soft Computing 22, no. 14 (2017): 4535–47. http://dx.doi.org/10.1007/s00500-017-2913-z.

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Liu, Bai, Jinzhao Wu, and Zhucheng Xie. "Approximate Bisimulation Equivalence and Variable Refinement." Applied Mathematics & Information Sciences 8, no. 4 (2014): 1959–66. http://dx.doi.org/10.12785/amis/080454.

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Gebler, 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.

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Girard, Antoine, and George J. Pappas. "Approximate bisimulation relations for constrained linear systems." Automatica 43, no. 8 (2007): 1307–17. http://dx.doi.org/10.1016/j.automatica.2007.01.019.

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Girard, 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.

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Wang, Chao, Jinzhao Wu, Hongyan Tan, and Jun Fu. "Approximate reachability and bisimulation equivalences for transition systems." Transactions of Tianjin University 22, no. 1 (2016): 19–23. http://dx.doi.org/10.1007/s12209-016-2565-6.

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CHOE, 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.

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Stankovic, 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 (2015): 1252–60. http://dx.doi.org/10.1109/tpwrs.2014.2342504.

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Dissertations / Theses on the topic "Approximate bisimulation"

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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.

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Disertacijom su opisane postojeće tehnike redukcije dinamičkih modela koje se koriste u teoriji upravljanja i postojeće tehnike za redukciju dinamičkih modela i ekvivalentiranje elektroenergetskih sistema. Predložen je nov pristup na fizici problema zasnovanoj redukciji dinamičkog modela elektroenergetskog sistema korišćenjem teorije balansnih realizacija. Takođe se predlaže korišćenje aproksimativnih bisimulacionih relacija za redukciju dinamičkih modela elektroenergetskog sistema. Postojeće tehnike i predloženi pristupi i algoritmi su primenjeni za redukciju dinamičkih modela dva razmatrana test sistema.<br>Dissertation 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.&nbsp;
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PANAROTTO, Federica. "Measures on probabilistic automata." Doctoral thesis, 2017. http://hdl.handle.net/11562/913985.

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In questa tesi consideriamo i processi probabilistici non-deterministici modellati attraverso automi. Il nostro obiettivo \`e l'analisi dei problemi di bisimulazioni approssimate. Queste relazioni sono usate, generalmente, per semplificare i modelli di alcuni sistemi e per modellare agenti e attaccanti nei protocolli di sicurezza. In questo ultimo campo ci sono diversi proposte di utilizzo di metriche, le quali sono l'analogo quantitativo della bisimulazione probabilistica e permettono una miglior precisione. Una metrica \`e grossomodo un grado di similarit\`a tra stati. Iniziando dalla formalizzazione di (bi)simulazione approssimata data nel lavoro di Turrini, definiamo due metriche su stati e su distribuzioni. Queste metriche sono basate sul concetto di errore ammesso durante la simulazione di uno stato rispetto un altro stato. Investigheremo la relazione tra queste metriche con una metrica largamente utilizzata, la metrica di Kantorovich, e scopriremo che esse sono equivalenti. Poi riadatteremo per gli automi probabilistici il trasformatore di misure proposto da De Alfaro e al., ottenendo un nuovo funzionale F che \`e una estensione conservativa dei trasformatori proposti in letteratura. Mostreremo che il minimo punto fisso di F coincide con la sua sovra-approssimazione dalle misure derivate dal lavoro di Turrini, attraverso la dimostrazione dell'esistenza di una stretta relazione tra le bisimulazioni approssimate di Turrini con le metriche in letteratura.<br>In 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.
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Books on the topic "Approximate bisimulation"

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Topology in Process Calculus: Approximate Correctness and Infinite Evolution of Concurrent Programs. Springer New York, 2001.

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Book chapters on the topic "Approximate bisimulation"

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Yan, Gaogao, Li Jiao, Yangjia Li, Shuling Wang, and Naijun Zhan. "Approximate Bisimulation and Discretization of Hybrid CSP." In FM 2016: Formal Methods. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-48989-6_43.

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Bian, Gaoang, and Alessandro Abate. "On the Relationship Between Bisimulation and Trace Equivalence in an Approximate Probabilistic Context." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2017. http://dx.doi.org/10.1007/978-3-662-54458-7_19.

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Harwood, Will, Faron Moller, and Anton Setzer. "Weak Bisimulation Approximants." In Computer Science Logic. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11874683_24.

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Wild, Paul, and Lutz Schröder. "A Quantified Coalgebraic van Benthem Theorem." In Lecture Notes in Computer Science. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-71995-1_28.

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AbstractThe classical van Benthem theorem characterizes modal logic as the bisimulation-invariant fragment of first-order logic; put differently, modal logic is as expressive as full first-order logic on bisimulation-invariant properties. This result has recently been extended to two flavours of quantitative modal logic, viz. fuzzy modal logic and probabilistic modal logic. In both cases, the quantitative van Benthem theorem states that every formula in the respective quantitative variant of first-order logic that is bisimulation-invariant, in the sense of being nonexpansive w.r.t. behavioural distance, can be approximated by quantitative modal formulae of bounded rank. In the present paper, we unify and generalize these results in three directions: We lift them to full coalgebraic generality, thus covering a wide range of system types including, besides fuzzy and probabilistic transition systems as in the existing examples, e.g. also metric transition systems; and we generalize from real-valued to quantale-valued behavioural distances, e.g. nondeterministic behavioural distances on metric transition systems; and we remove the symmetry assumption on behavioural distances, thus covering also quantitative notions of simulation.
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Murthy, Abhishek, Md Ariful Islam, Ezio Bartocci, et al. "Approximate Bisimulations for Sodium Channel Dynamics." In Computational Methods in Systems Biology. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33636-2_16.

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Abate, 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. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-06880-0_2.

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Conference papers on the topic "Approximate bisimulation"

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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.

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Julius, 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.

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Pola, 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.

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Xu, 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.

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Xiang, 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.

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Dukic, 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.

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Ma, 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.

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Ma, 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.

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Wild, 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}. International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/263.

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The fuzzy modality probably is interpreted over probabilistic type spaces by taking expected truth values. The arising probabilistic fuzzy description logic is invariant under probabilistic bisimilarity; more informatively, it is non-expansive wrt. a suitable notion of behavioural distance. In the present paper, we provide a characterization of the expressive power of this logic based on this observation: We prove a probabilistic analogue of the classical van Benthem theorem, which states that modal logic is precisely the bisimulation-invariant fragment of first-order logic. Specifically, we show that every formula in probabilistic fuzzy first-order logic that is non-expansive wrt. behavioural distance can be approximated by concepts of bounded rank in probabilistic fuzzy description logic.
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