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OptimizationBased Design of PlantFriendly Input Signals Using Geometric Discrepancy Criteria
 14 th IFAC Symposium on System Identification (SYSID 2006
, 2006
"... Abstract: The design of constrained, “plantfriendly ” multisine input signals that optimize a geometric discrepancy criterion arising from Weyl’s Theorem is examined in this paper. Such signals are meaningful for datacentric estimation methods, where uniform coverage of the output statespace is c ..."
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Abstract: The design of constrained, “plantfriendly ” multisine input signals that optimize a geometric discrepancy criterion arising from Weyl’s Theorem is examined in this paper. Such signals are meaningful for datacentric estimation methods, where uniform coverage of the output statespace is critical. The usefulness of this problem formulation is demonstrated by applying it to a linear example and to the nonlinear, highly interactive distillation column model developed by Weischedel and McAvoy (1980). The optimization problem includes a search for both the Fourier coefficients and phases in the multisine signal, resulting in an uniformly distributed output signal displaying a desirable balance between high and low gain directions. The solution involves very little user intervention (which enhances its practical usefulness) and has significant benefits compared to multisine signals that minimize crest factor.
UNPUBLISHED
, 2005
"... AIChE shall not be responsible for statements or opinions contained in papers or printed in publications. The design of constrained, “plantfriendly ” multisine input signals that optimize a geometric discrepancy criterion arising from Weyl’s Theorem is examined in this paper. Such signals are meani ..."
Abstract

Cited by 1 (0 self)
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AIChE shall not be responsible for statements or opinions contained in papers or printed in publications. The design of constrained, “plantfriendly ” multisine input signals that optimize a geometric discrepancy criterion arising from Weyl’s Theorem is examined in this paper. Such signals are meaningful for datacentric estimation methods, where uniform coverage of the output statespace is critical. The usefulness of this problem formulation is demonstrated by applying it to a linear example and to the nonlinear, highly interactive distillation column model developed by Weischedel and McAvoy (1980). The optimization problem includes a search for both the Fourier coefficients and phases in the multisine signal, resulting in an uniformly distributed output signal displaying a desirable balance between high and low gain directions. The solution involves very little user intervention (which enhances its practical usefulness) and has significant benefits compared to multisine signals that minimize crest factor. The effectiveness of data resulting from a Weyl criterionbased signal for ModelonDemand Model Predictive Control (a datacentric multivariable control algorithm) is demonstrated for the distillation column case study.
Direct Extraction Of The NonLinear Hemt Model From Vectorial LargeSignal Measurements
"... Nonlinear models for microwave and millimetre wave devices are commonly based on DC and Sparameter measurements, due to the absence of vectorial largesignal measurements in the past. At present, accurate prototype measurement systems are being developed, which implies that new nonlinear modelli ..."
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Nonlinear models for microwave and millimetre wave devices are commonly based on DC and Sparameter measurements, due to the absence of vectorial largesignal measurements in the past. At present, accurate prototype measurement systems are being developed, which implies that new nonlinear modelling techniques can be explored. We will show experimental results of a method that allows the direct extraction of the HEMT's statefunctions from vectorial largesignal measurements. I. INTRODUCTION An accurate description of the nonlinear behaviour of electronic components is mandatory for adequate circuit design. A common technique to acquire the nonlinear model of diodes and transistors is to make a smallsignal approximation of the nonlinear statefunctions at di#erent bias points #1, 2#. This technique requires a large amount of Sparameter measurements. The minimum number of required measurements can be signi#cantly reduced by extracting the statefunctions directly from largesigna...
A Frequency Domain versus Time Domain Identification . . .
, 2001
"... this paper. The restoring force can be plotted in a threedimensional graph against x(t) and x (t) . However, a more suitable representation of the restoring force can be obtained by taking the slice of this threedimensional plot along the axes where either x(t)orx (t) equal zero. If the slice whe ..."
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this paper. The restoring force can be plotted in a threedimensional graph against x(t) and x (t) . However, a more suitable representation of the restoring force can be obtained by taking the slice of this threedimensional plot along the axes where either x(t)orx (t) equal zero. If the slice where x(t)#0(x (t)#0) is considered, the plot is called the stiffness curve #damping curve# and gives the form of the stiffness #damping# nonlinearity. Therefore, prior the identification, the RFS approach offers a very interesting way of visualizing the nonlinearity and this procedure should help to choose an appropriate model for the restoring force
Advanced BlackBox Techniques for Nonlinear Modeling © 1998 Agilent Technologies Used with PermissionDIRECT EXTRACTION OF THE NONLINEAR HEMT MODEL FROM VECTORIAL LARGESIGNAL MEASUREMENTS
"... AbstractNonlinear models for microwave and millimetre wave devices are commonly based on DC and Sparameter measurements, due to the absence of vectorial largesignal measurements in the past. At present, accurate prototype measurement systems are being developed, which implies that new nonlinear ..."
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AbstractNonlinear models for microwave and millimetre wave devices are commonly based on DC and Sparameter measurements, due to the absence of vectorial largesignal measurements in the past. At present, accurate prototype measurement systems are being developed, which implies that new nonlinear modelling techniques can be explored. We will show experimental results of a method that allows the direct extraction of the HEMT's statefunctions from vectorial largesignal measurements. I.