DocumentCode
1468167
Title
Comments on "Lur\´e systems with multilayer perceptron and recurrent neural networks: absolute stability and dissipativity
Author
Bendtsen, Jan Dimon ; Trangbaek, Klaus
Author_Institution
Dept. of Control Eng., Aalborg Univ., Denmark
Volume
46
Issue
4
fYear
2001
fDate
4/1/2001 12:00:00 AM
Firstpage
671
Abstract
The authors point out that some of the claims and expressions in the paper mentioned in the title by Suykens et al. (ibid., vol.44 (1999)) are incorrect.
Keywords
Lyapunov methods; absolute stability; matrix algebra; multilayer perceptrons; recurrent neural nets; Lure systems; Lyapunov function; absolute stability; dissipativity; matrix inequality; multilayer perceptron; recurrent neural networks; Control engineering; Eigenvalues and eigenfunctions; Equations; Gain; Linear matrix inequalities; Multi-layer neural network; Multilayer perceptrons; Neurons; Recurrent neural networks; Stability;
fLanguage
English
Journal_Title
Automatic Control, IEEE Transactions on
Publisher
ieee
ISSN
0018-9286
Type
jour
DOI
10.1109/9.917716
Filename
917716
Link To Document