DocumentCode
1333419
Title
A proof of Kaszkurewicz and Bhaya´s conjecture on absolute stability of neural networks in two-neuron case
Author
Liang, Xue-Bin ; Wang, Jun
Author_Institution
Dept. of Electr. Eng., Arizona State Univ., Tempe, AZ, USA
Volume
47
Issue
4
fYear
2000
fDate
4/1/2000 12:00:00 AM
Firstpage
609
Lastpage
611
Abstract
This letter presents a proof of Kaszkurewicz and Bhaya´s conjecture (1995) on the absolute stability of neural networks in the two-neuron case. The conjecture states that the necessary and sufficient condition for absolute stability of neural networks with an n×n interconnection matrix T is T∈I0, where I0 denotes the class of matrices T such that matrix (T-D1)D2 has all eigenvalues with negative real parts for arbitrary positive diagonal matrices D1 and D2 . A characterization condition for the I0 class of matrices in the two-dimensional (2-D) case n=2 is also obtained
Keywords
absolute stability; neural nets; absolute stability; eigenvalues; interconnection matrix; neural network; two-dimensional system; two-neuron system; Automatic control; Circuit stability; Control systems; Convergence; Delay systems; History; Intelligent networks; Neural networks; Robust control; Robust stability;
fLanguage
English
Journal_Title
Circuits and Systems I: Fundamental Theory and Applications, IEEE Transactions on
Publisher
ieee
ISSN
1057-7122
Type
jour
DOI
10.1109/81.841868
Filename
841868
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