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
fDate :
4/1/2001 12:00:00 AM
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;
Journal_Title :
Automatic Control, IEEE Transactions on