Treffer: Guaranteed cost regulator design : A probabilistic solution and a randomized algorithm

Title:
Guaranteed cost regulator design : A probabilistic solution and a randomized algorithm
Source:
Automatica (Oxford). 43(2):317-324
Publisher Information:
Oxford: Elsevier, 2007.
Publication Year:
2007
Physical Description:
print, 14 ref
Original Material:
INIST-CNRS
Document Type:
Fachzeitschrift Article
File Description:
text
Language:
English
Author Affiliations:
Department of Computer and Systems Engineering, Kobe University, Nada-ku, Kobe 657-8501, Japan
Department of Mathematical Informatics, The University of Tokyo, Hongo, Bunkyo-ku, 113-8656, Japan
ISSN:
0005-1098
Rights:
Copyright 2007 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems
Accession Number:
edscal.18403832
Database:
PASCAL Archive

Weitere Informationen

This paper presents a gradient-based randomized algorithm to design a guaranteed cost regulator for a plant with general parametric uncertainties. The algorithm either provides with high confidence a probabilistic solution that satisfies the design specification with high probability for a randomly sampled uncertainty or claims that the feasible set of the design parameters is too small to contain a ball with a given radius. In both cases, the number of iterations executed in the algorithm is of polynomial order of the problem size and is independent of the dimension of the uncertainty.