Academic Journal
ONLINE MONITORING OF METRIC TEMPORAL LOGIC USING SEQUENTIAL NETWORKS.
| Τίτλος: | ONLINE MONITORING OF METRIC TEMPORAL LOGIC USING SEQUENTIAL NETWORKS. |
|---|---|
| Συγγραφείς: | ULUS, DOGAN |
| Πηγή: | Logical Methods in Computer Science (LMCS); 2026, Vol. 22 Issue 1, p12:1-12:27, 27p |
| Θεματικοί όροι: | Cyber physical systems, Real-time computing |
| Περίληψη: | Metric Temporal Logic (MTL) is a popular formalism to specify temporal patterns with timing constraints over the behavior of cyber-physical systems with application areas ranging in property-based testing, robotics, optimization, and learning. This paper focuses on the unified construction of sequential networks from MTL specifications over discrete and dense time behaviors to provide an efficient and scalable online monitoring framework. Our core technique, future temporal marking, utilizes interval-based symbolic representations of future discrete and dense timelines. Building upon this, we develop efficient update and output functions for sequential network nodes for timed temporal operations. Finally, we extensively test and compare our proposed technique with existing approaches and runtime verification tools. Results highlight the performance and scalability advantages of our monitoring approach and sequential networks. [ABSTRACT FROM AUTHOR] |
| Copyright of Logical Methods in Computer Science (LMCS) is the property of Logical Methods in Computer Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Βάση Δεδομένων: | Complementary Index |
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| Items | – Name: Title Label: Title Group: Ti Data: ONLINE MONITORING OF METRIC TEMPORAL LOGIC USING SEQUENTIAL NETWORKS. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22ULUS%2C+DOGAN%22">ULUS, DOGAN</searchLink> – Name: TitleSource Label: Source Group: Src Data: Logical Methods in Computer Science (LMCS); 2026, Vol. 22 Issue 1, p12:1-12:27, 27p – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Cyber+physical+systems%22">Cyber physical systems</searchLink><br /><searchLink fieldCode="DE" term="%22Real-time+computing%22">Real-time computing</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Metric Temporal Logic (MTL) is a popular formalism to specify temporal patterns with timing constraints over the behavior of cyber-physical systems with application areas ranging in property-based testing, robotics, optimization, and learning. This paper focuses on the unified construction of sequential networks from MTL specifications over discrete and dense time behaviors to provide an efficient and scalable online monitoring framework. Our core technique, future temporal marking, utilizes interval-based symbolic representations of future discrete and dense timelines. Building upon this, we develop efficient update and output functions for sequential network nodes for timed temporal operations. Finally, we extensively test and compare our proposed technique with existing approaches and runtime verification tools. Results highlight the performance and scalability advantages of our monitoring approach and sequential networks. [ABSTRACT FROM AUTHOR] – Name: Abstract Label: Group: Ab Data: <i>Copyright of Logical Methods in Computer Science (LMCS) is the property of Logical Methods in Computer Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.46298/LMCS-22(1:12)2026 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 27 StartPage: 12:1 Subjects: – SubjectFull: Cyber physical systems Type: general – SubjectFull: Real-time computing Type: general Titles: – TitleFull: ONLINE MONITORING OF METRIC TEMPORAL LOGIC USING SEQUENTIAL NETWORKS. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: ULUS, DOGAN IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: 2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 18605974 Numbering: – Type: volume Value: 22 – Type: issue Value: 1 Titles: – TitleFull: Logical Methods in Computer Science (LMCS) Type: main |
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