Projects per year
Abstract
The Robust (RLPM) and Fast (FLPM) Local Polynomial
Methods were developed to find a nonparametric Frequency
Response Function (FRF) estimate [1]. In this contribution
the methods are compared and applied on experimental
data coming from a heat diffusion experiment. Both
methods assume that the excitation signal is a periodic signal
and that the transient can be approximated locally in the
frequency domain by a lowdegree polynomial. FLPM also
approximates the FRF by a local polynomial with a low degree.
This approximation results in a bias error in case a
lowdegree polynomial cannot approximate the FRF well.
RLPM does not approximate the FRF by a local polynomial.
Thus, using RLPM avoids this bias error due to undermodeling.
Unfortunately RLPM cannot estimate the level
of the nonlinear distortions unless data coming from at least
two experiments with uncorrelated inputs is available.
Methods were developed to find a nonparametric Frequency
Response Function (FRF) estimate [1]. In this contribution
the methods are compared and applied on experimental
data coming from a heat diffusion experiment. Both
methods assume that the excitation signal is a periodic signal
and that the transient can be approximated locally in the
frequency domain by a lowdegree polynomial. FLPM also
approximates the FRF by a local polynomial with a low degree.
This approximation results in a bias error in case a
lowdegree polynomial cannot approximate the FRF well.
RLPM does not approximate the FRF by a local polynomial.
Thus, using RLPM avoids this bias error due to undermodeling.
Unfortunately RLPM cannot estimate the level
of the nonlinear distortions unless data coming from at least
two experiments with uncorrelated inputs is available.
Original language  English 

Title of host publication  31th Benelux Meeting on Systems and Control, March 2729 2012, CenterParcs Heijderbos, Heijden, The Netherlands 
Publication status  Published  27 Mar 2012 
Keywords
 RLPM
 FLPM
 FRF
Fingerprint
Dive into the research topics of 'Robust or fast local polynomial method: How to choose?'. Together they form a unique fingerprint.Projects
 1 Finished

DWTC282: Dynamical systems, control and optimization
Pintelon, R., Vandewalle, J., Aeyels, D., Sepulchre, R., Kinnaert, M., Vande Wouwer, A., Blondel, V., Winkin, J., Boyd, S. & Leonard, N.
1/04/12 → 30/09/17
Project: Fundamental