Author:
Szeidl László, ,Várlaki Péter,
Abstract
The higher order singular-value-based canonical form of linear parameter varying models we define, extracts a models's most important invariant characteristics. We studied the numerical reconstructibility of the canonical form using a routinely executable tractable uniform method, and present convergency theorems for given numerical reconstruction constraint.
Publisher
Fuji Technology Press Ltd.
Subject
Artificial Intelligence,Computer Vision and Pattern Recognition,Human-Computer Interaction
Cited by
48 articles.
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