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Formal Modeling and Analysis of Timed Systems

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Cover of 'Formal Modeling and Analysis of Timed Systems'

Table of Contents

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    Book Overview
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    Chapter 1 The Modeling and Analysis of Mixed-Criticality Systems
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    Chapter 2 Modeling Bitcoin Contracts by Timed Automata
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    Chapter 3 Data-Driven Statistical Learning of Temporal Logic Properties
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    Chapter 4 Finding Best and Worst Case Execution Times of Systems Using Difference-Bound Matrices
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    Chapter 5 Delay-Dependent Partial Order Reduction Technique for Time Petri Nets
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    Chapter 6 On MITL and Alternating Timed Automata over Infinite Words
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    Chapter 7 Time Petri Nets with Dynamic Firing Dates: Semantics and Applications
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    Chapter 8 Verification and Performance Evaluation of Timed Game Strategies
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    Chapter 9 The Power of Proofs: New Algorithms for Timed Automata Model Checking
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    Chapter 10 Anonymized Reachability of Hybrid Automata Networks
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    Chapter 11 Combined Global and Local Search for the Falsification of Hybrid Systems
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    Chapter 12 Weak Singular Hybrid Automata
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    Chapter 13 Non-convex Invariants and Urgency Conditions on Linear Hybrid Automata
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    Chapter 14 Time-Bounded Reachability for Initialized Hybrid Automata with Linear Differential Inclusions and Rectangular Constraints
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    Chapter 15 Virtual Integration of Real-Time Systems Based on Resource Segregation Abstraction
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    Chapter 16 Timed Pattern Matching
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    Chapter 17 Interval Abstraction Refinement for Model Checking of Timed-Arc Petri Nets
Attention for Chapter 3: Data-Driven Statistical Learning of Temporal Logic Properties
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Chapter title
Data-Driven Statistical Learning of Temporal Logic Properties
Chapter number 3
Book title
Formal Modeling and Analysis of Timed Systems
Published in
Lecture notes in computer science, January 2014
DOI 10.1007/978-3-319-10512-3_3
Book ISBNs
978-3-31-910511-6, 978-3-31-910512-3
Authors

Bartocci, Ezio, Bortolussi, Luca, Sanguinetti, Guido, Ezio Bartocci, Luca Bortolussi, Guido Sanguinetti

Editors

Legay, Axel, Bozga, Marius

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 46%
Researcher 5 14%
Student > Master 4 11%
Student > Bachelor 2 6%
Other 2 6%
Other 3 9%
Unknown 3 9%
Readers by discipline Count As %
Computer Science 21 60%
Engineering 7 20%
Business, Management and Accounting 1 3%
Philosophy 1 3%
Chemistry 1 3%
Other 1 3%
Unknown 3 9%