Quantitative Feedback Theory

E785142

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.

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Predicate Object
instanceOf control theory method
robust control design methodology
addresses modeling errors
plant parameter variations
unmodeled dynamics
advantage explicit handling of plant uncertainty in frequency domain
transparent trade-off between performance and robustness
alsoKnownAs QFT NERFINISHED
appliedTo multi-input multi-output systems
single-input single-output systems
assumes bounded parametric uncertainty
comparedWith H-infinity control NERFINISHED
mu-synthesis
designs feedback controllers
designStep construction of plant templates
loop shaping to satisfy bounds
specification of performance and robustness bounds
verification of closed-loop performance
developedBy Isaac Horowitz NERFINISHED
ensures closed-loop stability under uncertainty
disturbance rejection within specified limits
robustness to model uncertainty
tracking performance under plant variations
field control theory
focusesOn robust control design
formalizedIn 1970s
goal quantitative guarantee of performance over uncertainty set
keyConcept bounds
performance specifications
plant uncertainty
robust performance
robust stability
template
mathematicalBasis feedback control theory
frequency response analysis
originatedIn 1960s
representsUncertaintyAs plant templates in the Nichols chart
requires frequency response data of plant family
specifies frequency-domain bounds on loop transmission
usedIn aerospace control systems
mechatronic systems
process control
servo systems
uses closed-loop transfer function
loop transmission function
usesDomain frequency domain
usesTechnique Nichols chart design NERFINISHED
frequency response methods
loop shaping

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Isaac Horowitz knownFor Quantitative Feedback Theory
Isaac Horowitz notableConcept Quantitative Feedback Theory
this entity surface form: Quantitative Feedback Theory design methodology