Formal modeling and analysis of timed systems : 19th international conference, FORMATS 2021, Paris, France, August 24-26, 2021 : proceedings

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書誌事項

Formal modeling and analysis of timed systems : 19th international conference, FORMATS 2021, Paris, France, August 24-26, 2021 : proceedings

Catalin Dima, Mahsa Shirmohammadi (eds.)

(Lecture notes in computer science, 12860 . LNCS sublibrary ; SL 1 . Theoretical computer science and general issues)

Springer, c2021

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注記

Includes bibliographical references and author index

"This volume contains the papers presented at the 19th International Conference on Formal Modeling and Analysis of Timed Systems (FORMATS 2021), held virtually, and hosted by the Laboratoire d'Algorithmique, Complexité et Logique (LACL), Université Paris-Est Créteil, France, during August 24-26, 2021."--Pref

内容説明・目次

内容説明

This book constitutes the refereed proceedings of the 19th International Conference on Formal Modeling and Analysis of Timed Systems, FORMATS 2021, held in Paris, France, in August 2021. The 8 full papers that were carefully reviewed and selected from 19 submissions are presented in this volume with 2 invited talks. The papers focus on topics such as probabilistic computation, logic and verification, robotic planning, complexity of timed pattern matching, safety violations in real-time systems, modal and temporal logics, and others.

目次

Formal Methods for Robot Motion Planning with Time and Space Constraints (Extended Abstract).- Temporal Reasoning for Intelligent Financial Services: Examples and Challenges.- On the complexity of timed pattern matching.- Stubborn Set Reduction for Timed Reachability and Safety Games.- Automatic Dynamic Parallelotope Bundles for Reachability Analysis of Nonlinear Systems.- Closing the Gap between Discrete Abstractions and Continuous Control: Completeness via Robustness and Controllability.- An Integer Static Analysis for Better Extrapolation in Uppaal.- Explaining Safety Violations in Real-Time Systems.- DiffRNN: Differential verification of Recurrent Neural Networks.- Formal Abstraction and Synthesis of Parametric Stochastic Processes.

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