HOSVD Based Canonical Form for Polytopic Models of Dynamic Systems-Reference-Cited by-同舟云学术

HOSVD Based Canonical Form for Polytopic Models of Dynamic Systems

Published:2009-01-20 Issue:1 Volume:13 Page:52-60
ISSN:1883-8014
Container-title:Journal of Advanced Computational Intelligence and Intelligent Informatics
language:en
Short-container-title:JACIII

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

Reference9 articles.

1. M. Athans, S. Fekri, and A. Pascoal, “Issues on robust adaptive feedback control,” in Plenary paper, Perprints of 16th IFAC Word Congress, Prague, pp. 9-39, 2005.

2. G. Balas, J. Bokor, and Z. Szabó, “Invariant subspaces for LPV systems and their application,” IEEE Transactions on Automatic Control, Vol.48, No.11, pp. 2065-2069, 2003.

3. P. Baranyi, D. Tikk, Y. Yam, and R. J. Patton, “From differential equations to PDC controller design via numerical transformation,” Computers in Industry, Elsevier Science, Vol.51, pp. 281-297, 2003.

4. J. Bokor, P. Baranyi, P. Michelberger, and P. Varlaki, “TP model transformation in non-linear system control,” in 3rd IEEE Int. Conf. on Computational Cybernetics (ICCC), pp. 111-119, (plenary lecture) ISBN: 0-7803-9474-7, Mauritius, Greece, 13-16 April, 2005.

5. S. Boyd, L. E. Ghaoui, E. Feron, and V. Balakrishnan, “Linear Matrix Inequalities in Systems and Control Theory,” SIAM books, Philadelphia, 1994.

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