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Bounded-error data, and frequency response design

✍ Scribed by B. Kouvaritakis; M.S. Trimboli


Publisher
Elsevier Science
Year
1990
Tongue
English
Weight
908 KB
Volume
32
Category
Article
ISSN
0378-4754

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✦ Synopsis


The presence of bounded-noise in identification data implies uncertainty in the parameters of system models. Earlier results provide analytical means for determining optimal ellipsoidal regions that bound the vector of parameters.

Parameter space information however is only of secondary interest in frequency response design where the main preoccupation is with the bounding of Nyquist diagrams. The present paper considers the projection of ellipsoidal regions from parameter space to the Nyquist plane and obtains results which are optimal from a frequency response point of view. As an illustration of the potential use for frequency response bounding regions, consideration is given to the problem of multivariable robust frequency response design and a numerical example is discussed.


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