Control System Design
E843469
Control System Design is a foundational engineering textbook that presents modern methods for modeling, analyzing, and designing feedback control systems.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Control System Design canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T10152163 — 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: Control System Design Context triple: [Graham C. Goodwin, notableWork, Control System Design]
-
A.
Control Systems Engineering
"Control Systems Engineering" is a foundational technical book that systematically presents the principles, analysis methods, and design techniques used in automatic control systems.
-
B.
control theory
Control theory is a branch of engineering and mathematics that studies how to model, analyze, and design systems that regulate their own behavior using feedback.
-
C.
Servomechanisms and Regulating System Design
"Servomechanisms and Regulating System Design" is a foundational engineering text that systematically develops the theory and practical design methods of automatic control and feedback systems.
-
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.
PID Controllers: Theory, Design, and Tuning
PID Controllers: Theory, Design, and Tuning is a foundational engineering text that systematically presents the principles, practical design methods, and tuning techniques for proportional–integral–derivative control systems.
- 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: Control System Design Target entity description: Control System Design is a foundational engineering textbook that presents modern methods for modeling, analyzing, and designing feedback control systems.
-
A.
Control Systems Engineering
"Control Systems Engineering" is a foundational technical book that systematically presents the principles, analysis methods, and design techniques used in automatic control systems.
-
B.
control theory
Control theory is a branch of engineering and mathematics that studies how to model, analyze, and design systems that regulate their own behavior using feedback.
-
C.
Servomechanisms and Regulating System Design
"Servomechanisms and Regulating System Design" is a foundational engineering text that systematically develops the theory and practical design methods of automatic control and feedback systems.
-
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.
PID Controllers: Theory, Design, and Tuning
PID Controllers: Theory, Design, and Tuning is a foundational engineering text that systematically presents the principles, practical design methods, and tuning techniques for proportional–integral–derivative control systems.
- F. None of above. chosen
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf |
engineering textbook
ⓘ
nonfiction book ⓘ |
| covers |
continuous-time control systems
ⓘ
discrete-time control systems ⓘ |
| emphasizes |
mathematical modeling of dynamic systems
ⓘ
modern control theory ⓘ systematic design procedures ⓘ |
| hasAudience |
control engineers
ⓘ
engineering students ⓘ |
| hasField |
control engineering
ⓘ
systems engineering ⓘ
linked to:
Systems Engineering journal
|
| hasLevel |
graduate
ⓘ
undergraduate ⓘ |
| hasPurpose |
to teach modern methods for analyzing feedback control systems
ⓘ
to teach modern methods for designing feedback control systems ⓘ to teach modern methods for modeling feedback control systems ⓘ |
| hasTopic |
Bode plots
ⓘ
Nyquist criterion ⓘ
linked to:
Nyquist stability criterion
PID control ⓘ block diagrams ⓘ control system design ⓘ control systems ⓘ controller design ⓘ feedback control ⓘ feedback loop design ⓘ frequency response ⓘ frequency-domain methods ⓘ linear systems ⓘ observers ⓘ performance specifications ⓘ robust control concepts ⓘ root locus ⓘ stability analysis ⓘ state feedback ⓘ state-space methods ⓘ system analysis ⓘ system modeling ⓘ time-domain response ⓘ transfer functions ⓘ |
| isUsedAs | university course textbook ⓘ |
| isUsedIn |
aerospace engineering curricula
ⓘ
electrical engineering curricula ⓘ mechanical engineering curricula ⓘ |
| uses |
Laplace transforms
ⓘ
differential equations ⓘ linear algebra ⓘ mathematical models ⓘ z-transforms ⓘ |
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: Control System Design Description of subject: Control System Design is a foundational engineering textbook that presents modern methods for modeling, analyzing, and designing feedback control systems.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.