Dynamic System Identification: Experiment Design and Data Analysis
E843468
"Dynamic System Identification: Experiment Design and Data Analysis" is a technical book that presents methods for designing experiments and analyzing data to model and identify dynamic systems in engineering and control applications.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Dynamic System Identification: Experiment Design and Data Analysis canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T10152162 — 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: Dynamic System Identification: Experiment Design and Data Analysis Context triple: [Graham C. Goodwin, notableWork, Dynamic System Identification: Experiment Design and Data Analysis]
-
A.
Feedback Systems: An Introduction for Scientists and Engineers
Feedback Systems: An Introduction for Scientists and Engineers is a widely used textbook that provides a modern, rigorous introduction to control theory and feedback principles for science and engineering students.
-
B.
Prediction and Regulation by Linear Least-Square Methods
"Prediction and Regulation by Linear Least-Square Methods" is a foundational monograph in stochastic control and time-series analysis that systematically develops linear least-squares techniques for prediction, filtering, and optimal regulation.
-
C.
Åström–Wittenmark adaptive control framework
The Åström–Wittenmark adaptive control framework is a foundational methodology in control theory that systematically designs controllers capable of adjusting their parameters in real time to handle unknown or time-varying system dynamics.
-
D.
Quantitative Feedback Theory
Quantitative Feedback Theory is a robust control design methodology that uses frequency-domain techniques and quantitative bounds to ensure system performance and stability under uncertainty.
-
E.
Sampled-Data Control Systems
Sampled-Data Control Systems is a foundational work in control theory that systematically develops the analysis and design of systems combining continuous-time dynamics with discrete-time sampling.
- 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: Dynamic System Identification: Experiment Design and Data Analysis Target entity description: "Dynamic System Identification: Experiment Design and Data Analysis" is a technical book that presents methods for designing experiments and analyzing data to model and identify dynamic systems in engineering and control applications.
-
A.
Feedback Systems: An Introduction for Scientists and Engineers
Feedback Systems: An Introduction for Scientists and Engineers is a widely used textbook that provides a modern, rigorous introduction to control theory and feedback principles for science and engineering students.
-
B.
Prediction and Regulation by Linear Least-Square Methods
"Prediction and Regulation by Linear Least-Square Methods" is a foundational monograph in stochastic control and time-series analysis that systematically develops linear least-squares techniques for prediction, filtering, and optimal regulation.
-
C.
Åström–Wittenmark adaptive control framework
The Åström–Wittenmark adaptive control framework is a foundational methodology in control theory that systematically designs controllers capable of adjusting their parameters in real time to handle unknown or time-varying system dynamics.
-
D.
Quantitative Feedback Theory
Quantitative Feedback Theory is a robust control design methodology that uses frequency-domain techniques and quantitative bounds to ensure system performance and stability under uncertainty.
-
E.
Sampled-Data Control Systems
Sampled-Data Control Systems is a foundational work in control theory that systematically develops the analysis and design of systems combining continuous-time dynamics with discrete-time sampling.
- F. None of above. chosen
Statements (47)
| Predicate | Object |
|---|---|
| instanceOf |
book
ⓘ
technical book ⓘ |
| appliesTo |
electrical systems
ⓘ
mechanical systems ⓘ mechatronic systems ⓘ process control systems ⓘ |
| covers |
bias and variance in estimates
ⓘ
design of excitation signals ⓘ estimation accuracy ⓘ identification of continuous-time systems ⓘ identification of discrete-time systems ⓘ model structure selection ⓘ |
| field |
applied mathematics
ⓘ
control theory ⓘ systems engineering ⓘ |
| focusesOn |
identification of dynamic models
ⓘ
methods for analyzing experimental data ⓘ methods for designing experiments ⓘ practical engineering case studies ⓘ |
| goal |
to provide systematic procedures for experiment design
ⓘ
to provide tools for accurate model identification ⓘ |
| hasSubject |
control engineering
ⓘ
data analysis ⓘ deterministic systems ⓘ dynamic systems ⓘ engineering applications ⓘ experiment design ⓘ experimental data handling ⓘ frequency-domain identification ⓘ identification algorithms ⓘ input design ⓘ linear systems ⓘ model validation ⓘ modeling of dynamic systems ⓘ noise modeling ⓘ nonlinear systems ⓘ parameter estimation ⓘ signal processing for system identification ⓘ stochastic systems ⓘ system identification ⓘ time-domain identification ⓘ |
| intendedFor |
engineers
ⓘ
graduate students ⓘ researchers ⓘ |
| language | English ⓘ |
| usedIn |
control system design practice
ⓘ
engineering education ⓘ |
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: Dynamic System Identification: Experiment Design and Data Analysis Description of subject: "Dynamic System Identification: Experiment Design and Data Analysis" is a technical book that presents methods for designing experiments and analyzing data to model and identify dynamic systems in engineering and control applications.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.
Graham C. Goodwin
→
notableWork
→
Dynamic System Identification: Experiment Design and Data Analysis
ⓘ