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
Link To Document :
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