Lectures in Feedback Design for Multivariable Systems
E307597
Lectures in Feedback Design for Multivariable Systems is a technical book by control theorist Alberto Isidori that presents systematic methods for designing feedback controllers for complex multivariable dynamical systems.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Lectures in Feedback Design for Multivariable Systems canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T2892825 — 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: Lectures in Feedback Design for Multivariable Systems Context triple: [Alberto Isidori, notableWork, Lectures in Feedback Design for Multivariable Systems]
-
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.
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.
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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.
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D.
Kailath factorization in linear systems
Kailath factorization in linear systems is a matrix factorization technique used in control and signal processing to efficiently analyze and solve linear dynamical systems.
-
E.
Lyapunov stability theory
Lyapunov stability theory is a fundamental framework in dynamical systems and control theory that uses energy-like functions to assess the stability of equilibrium points without explicitly solving differential equations.
- 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: Lectures in Feedback Design for Multivariable Systems Target entity description: Lectures in Feedback Design for Multivariable Systems is a technical book by control theorist Alberto Isidori that presents systematic methods for designing feedback controllers for complex multivariable dynamical systems.
-
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.
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.
-
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.
Kailath factorization in linear systems
Kailath factorization in linear systems is a matrix factorization technique used in control and signal processing to efficiently analyze and solve linear dynamical systems.
-
E.
Lyapunov stability theory
Lyapunov stability theory is a fundamental framework in dynamical systems and control theory that uses energy-like functions to assess the stability of equilibrium points without explicitly solving differential equations.
- F. None of above. chosen
Statements (34)
| Predicate | Object |
|---|---|
| instanceOf |
book
ⓘ
technical book ⓘ |
| approach |
state-space approach
ⓘ
systematic design methods ⓘ |
| author | Alberto Isidori ⓘ |
| contributor | Alberto Isidori ⓘ |
| describes | methods for feedback design in multivariable settings ⓘ |
| educationalUse |
graduate-level textbook
ⓘ
reference for control engineers ⓘ |
| field |
control theory
ⓘ
feedback control ⓘ multivariable control ⓘ |
| focus |
design of feedback controllers for complex multivariable systems
ⓘ
systematic controller synthesis ⓘ |
| genre | academic monograph ⓘ |
| hasPart |
examples of multivariable controller design
ⓘ
lectures on feedback design for multivariable systems ⓘ mathematical derivations of control laws ⓘ |
| intendedAudience |
graduate students in control engineering
ⓘ
practicing control engineers ⓘ researchers in control theory ⓘ |
| language | English ⓘ |
| topic |
decoupling of multivariable systems
ⓘ
feedback design ⓘ geometric control ideas ⓘ linear systems ⓘ multivariable dynamical systems ⓘ nonlinear systems ⓘ output feedback ⓘ robust control concepts ⓘ stabilization ⓘ state feedback ⓘ state-space methods ⓘ tracking and regulation ⓘ |
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: Lectures in Feedback Design for Multivariable Systems Description of subject: Lectures in Feedback Design for Multivariable Systems is a technical book by control theorist Alberto Isidori that presents systematic methods for designing feedback controllers for complex multivariable dynamical systems.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.