DocumentCode
706577
Title
IQC characterizations of signal classes
Author
Jonsson, Ulf ; Megretski, Alexandre
Author_Institution
Lab. for Inf. & Decision Syst., Massachusetts Inst. of Technol., Cambridge, MA, USA
fYear
1999
fDate
Aug. 31 1999-Sept. 3 1999
Firstpage
1481
Lastpage
1486
Abstract
Worst case average performance analysis is considered in this paper. The disturbance in the system is assumed to belong to a “class of inputs signals”. A class of signals is here defined to be a set of families of signals, where each family satisfies an average spectral constraint. Exact characterizations in terms of integral quadratic constraints (IQC) are given for a class of white signals and a class of signals that are generated by autonomous linear systems. The IQCs are defined in terms of multipliers and important issues in numerical optimization of the multipliers are discussed in the paper.
Keywords
signal processing; IQC characterizations; autonomous linear systems; average spectral constraint; integral quadratic constraints; signal classes; Bandwidth; Fourier transforms; Performance analysis; Robustness; Standards; Transfer functions; White noise; IQC; performance analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference (ECC), 1999 European
Conference_Location
Karlsruhe
Print_ISBN
978-3-9524173-5-5
Type
conf
Filename
7099521
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