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 :
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