Publication | Closed Access
Performance assessment measures for univariate feedback control
386
Citations
28
References
1992
Year
Flow ControlEngineeringControl SystemsStabilitySystems EngineeringControl MethodControl StrategyMathematical Control TheoryControl DesignPerformance Assessment MeasuresControl EngineeringAdditive DisturbanceControl System EngineeringAerospace EngineeringMechanical SystemsProcess ControlLinear ControlNormalized Performance IndexFeedback Control
η(b) measures proximity to minimum‑variance control, the optimal feedback control for linear systems with additive disturbance. The paper introduces a normalized performance index η(b) to characterize feedback control performance. Both time‑domain and spectral interpretations of η(b) are discussed, and a fast, simple online estimator with known statistical properties is presented. Simulation and industrial examples demonstrate that the estimator accurately estimates η(b) and confirms its practical utility.
Abstract 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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