From timed automata to hybrid systems
E880523
"From timed automata to hybrid systems" is a scholarly work that explores the extension of timed automata models to more general hybrid systems, integrating discrete and continuous dynamics in system verification and modeling.
All labels observed (1)
| Label | Occurrences |
|---|---|
| From timed automata to hybrid systems canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T10709438 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: From timed automata to hybrid systems Context triple: [Oded Maler, coAuthorOf, From timed automata to hybrid systems]
-
A.
hybrid automata
Hybrid automata are mathematical models used in computer science and control theory to describe systems that exhibit both continuous dynamics and discrete transitions, such as embedded or cyber-physical systems.
-
B.
Temporal Verification of Reactive Systems
"Temporal Verification of Reactive Systems" is a foundational book in formal methods that presents rigorous techniques for specifying and verifying the correctness of reactive and concurrent systems using temporal logic.
-
C.
Symbolic Model Checking
Symbolic Model Checking is a formal verification technique that uses symbolic representations, such as binary decision diagrams, to efficiently verify properties of hardware and software systems with very large state spaces.
-
D.
Model Checking (book)
"Model Checking" is a foundational textbook that systematically presents the theory and practice of using automated verification techniques to prove correctness properties of hardware and software systems.
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E.
PRISM probabilistic model checker
PRISM probabilistic model checker is a formal verification tool used to model, analyze, and verify systems that exhibit probabilistic behavior, such as randomized algorithms and communication or security protocols.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: From timed automata to hybrid systems Target entity description: "From timed automata to hybrid systems" is a scholarly work that explores the extension of timed automata models to more general hybrid systems, integrating discrete and continuous dynamics in system verification and modeling.
-
A.
hybrid automata
Hybrid automata are mathematical models used in computer science and control theory to describe systems that exhibit both continuous dynamics and discrete transitions, such as embedded or cyber-physical systems.
-
B.
Temporal Verification of Reactive Systems
"Temporal Verification of Reactive Systems" is a foundational book in formal methods that presents rigorous techniques for specifying and verifying the correctness of reactive and concurrent systems using temporal logic.
-
C.
Symbolic Model Checking
Symbolic Model Checking is a formal verification technique that uses symbolic representations, such as binary decision diagrams, to efficiently verify properties of hardware and software systems with very large state spaces.
-
D.
Model Checking (book)
"Model Checking" is a foundational textbook that systematically presents the theory and practice of using automated verification techniques to prove correctness properties of hardware and software systems.
-
E.
PRISM probabilistic model checker
PRISM probabilistic model checker is a formal verification tool used to model, analyze, and verify systems that exhibit probabilistic behavior, such as randomized algorithms and communication or security protocols.
- F. None of above. chosen
Statements (35)
| Predicate | Object |
|---|---|
| instanceOf |
research paper
ⓘ
scholarly article ⓘ |
| addresses |
modeling of continuous behavior in automata-based frameworks
ⓘ
semantics of hybrid automata ⓘ state-space representation of hybrid systems ⓘ |
| aimsTo |
bridge gap between timed automata and hybrid systems
ⓘ
provide a unified modeling framework for discrete and continuous dynamics ⓘ |
| contributesTo |
methods for system verification
ⓘ
theory of hybrid automata ⓘ |
| describes | extension of timed automata to hybrid systems ⓘ |
| field |
computer science
ⓘ
formal methods ⓘ systems verification ⓘ |
| focusesOn |
integration of discrete and continuous dynamics
ⓘ
modeling of real-time systems ⓘ verification of hybrid systems ⓘ |
| hasAspect |
modeling techniques
ⓘ
theoretical foundations ⓘ verification techniques ⓘ |
| intendedFor |
researchers in formal methods
ⓘ
researchers in hybrid systems ⓘ system verification practitioners ⓘ |
| mainTopic |
discrete-continuous systems
ⓘ
formal verification ⓘ hybrid systems ⓘ timed automata ⓘ |
| relatedTo |
control systems
ⓘ
embedded systems ⓘ real-time systems ⓘ safety-critical systems ⓘ |
| usesConcept |
continuous variables
ⓘ
differential constraints ⓘ reachability analysis ⓘ state invariants ⓘ timed transitions ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: From timed automata to hybrid systems Description of subject: "From timed automata to hybrid systems" is a scholarly work that explores the extension of timed automata models to more general hybrid systems, integrating discrete and continuous dynamics in system verification and modeling.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.