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Performance assessment measures for univariate feedback control
Author(s) -
Desborough Lane,
Harris Thomas
Publication year - 1992
Publication title -
the canadian journal of chemical engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.404
H-Index - 67
eISSN - 1939-019X
pISSN - 0008-4034
DOI - 10.1002/cjce.5450700620
Subject(s) - univariate , estimator , transfer function , variance (accounting) , computer science , measure (data warehouse) , simple (philosophy) , control theory (sociology) , control (management) , minimum variance unbiased estimator , function (biology) , feedback control , index (typography) , mathematics , statistics , data mining , multivariate statistics , control engineering , engineering , artificial intelligence , philosophy , electrical engineering , accounting , epistemology , evolutionary biology , biology , world wide web , business
A normalized performance index, η( b ), is introduced to characterize the performance of feedback control schemes. η( b ) is attractive because it provides a measure of the proximity of control to minimum variance control, which is the optimal feedback control provided that the process can be described by a linear transfer function with additive disturbance. Both time domain and spectral interpretations of this performance index are discussed. A fast, simple, on‐line method for estimating η( b ) is given, along with some of the statistical properties of the estimator. Simulation and industrial examples demonstrate the utility of η( b /)
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