hybrid automata
E846884
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.
All labels observed (1)
| Label | Occurrences |
|---|---|
| hybrid automata canonical | 1 |
Statements (62)
| Predicate | Object |
|---|---|
| instanceOf |
computational model
ⓘ
formal model ⓘ mathematical model ⓘ state-based system model ⓘ |
| appliedIn |
aerospace systems
ⓘ
automotive systems ⓘ industrial automation ⓘ medical devices ⓘ robotics ⓘ |
| describes |
cyber-physical systems
ⓘ
embedded control systems ⓘ hybrid systems ⓘ systems with both continuous and discrete behavior ⓘ |
| field |
computer science
ⓘ
control theory ⓘ cyber-physical systems ⓘ embedded systems ⓘ formal methods ⓘ |
| generalizes |
finite automata
ⓘ
ordinary differential equation models ⓘ timed automata ⓘ |
| hasComponent |
continuous dynamics
ⓘ
continuous variables ⓘ discrete states ⓘ discrete transitions ⓘ flow conditions ⓘ guards ⓘ initial states ⓘ invariants ⓘ resets ⓘ |
| hasProperty |
can express nonlinear dynamics
ⓘ
can model mode switching ⓘ reachability problem is generally undecidable ⓘ supports both continuous-time and discrete-time evolution ⓘ supports compositional modeling ⓘ supports hierarchical modeling ⓘ verification often requires over-approximation ⓘ |
| hasSubtype |
hybrid Petri nets
ⓘ
initialized rectangular hybrid automata ⓘ linear hybrid automata ⓘ o-minimal hybrid automata ⓘ probabilistic hybrid automata ⓘ rectangular hybrid automata ⓘ stochastic hybrid automata ⓘ switched systems ⓘ |
| relatedTo |
Lyapunov stability analysis
ⓘ
abstract interpretation ⓘ differential equations ⓘ discrete event systems ⓘ model checking ⓘ state machines ⓘ timed automata ⓘ |
| usedFor |
controller synthesis
ⓘ
modeling control systems ⓘ modeling cyber-physical systems ⓘ modeling embedded systems ⓘ motion planning ⓘ reachability analysis ⓘ safety verification ⓘ scheduling analysis ⓘ verification of hybrid systems ⓘ verification of real-time systems ⓘ |
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: hybrid automata Description of subject: 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.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.