NDLI: Probabilistic uncertainty description for an ETFE estimated plant using a sequence of multi-sinusoidal signals

Content Provider	IEEE Xplore Digital Library
Author	Steenis, R. Rivera, D.E.
Copyright Year	2010
Description	Author affiliation: Control Syst. Eng. Lab., Arizona State Univ., Tempe, AZ, USA (Rivera, D.E.) \|\| Sch. of Electr., Comput., & Energy Eng., Arizona State Univ., Tempe, AZ, USA (Steenis, R.)
Abstract	This paper generalizes a probabilistic frequency-domain uncertainty description for an Empirical Transfer Function Estimate (ETFE) model developed by Bayard by using an input signal that is composed of a sequence of distinct multi-sinusoidal signals, instead of a single fixed multi-sinusoidal signal. Each signal in the sequence may have different sinusoidal amplitudes, number of signal periods, and fundamental frequency. The corresponding aggregate ETFE plant estimate for the sequence of multi-sinusoidal signals is developed as well. Besides their usefulness for robust control design, the plant and uncertainty expressions enable the use of adaptive algorithms for input signal adjustment during experimental testing in system identification. The use of adaptive signal algorithms also allows the opportunity to improve plant estimates, shape the probabilistic uncertainty description, and reduce input signal duration based on information learned during identification testing. A series of illustrative examples are included to show the relationship between the properties of the multi-sinusoidal signals in the input sequence and the plant uncertainty description.
Starting Page	3722
Ending Page	3728
File Size	777547
Page Count	7
File Format	PDF
ISBN	9781424474264
ISSN	07431619
e-ISBN	9781424474271
DOI	10.1109/ACC.2010.5530668
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-06-30
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	American Automatic Control Council(AACC)
Subject Keyword	Uncertainty Signal processing Transfer functions Frequency estimation Aggregates Robust control Signal design Algorithm design and analysis Adaptive algorithm System testing Robust Control Probabilistic Uncertainty Description ETFE Plant Estimation System Identification
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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