DocumentCode
1517354
Title
Global exponential stability of a class of neural circuits
Author
Liang, Xue-Bin ; Wu, Li-De
Author_Institution
Dept. of Comput. Sci., Fudan Univ., Shanghai, China
Volume
46
Issue
6
fYear
1999
fDate
6/1/1999 12:00:00 AM
Firstpage
748
Lastpage
751
Abstract
This paper obtains the global exponential stability (GES) of the class of Hopfield-Tank neural circuits, which can represent a generalization of the existing stability results in the sense that only the global asymptotic stability (GAS) of the neural circuits was obtained under existing sufficient conditions in the literature. An example of a neural circuit which is globally asymptotically stable (GAS) rather than globally exponentially stable (GES) is also given
Keywords
Hopfield neural nets; asymptotic stability; neural chips; Hopfield-Tank neural circuits; existing sufficient conditions; global asymptotic stability; global exponential stability; Asymptotic stability; Circuit stability; Digital filters; Finite impulse response filter; Frequency response; Low pass filters; Passband; Polynomials; Signal processing; Speech processing;
fLanguage
English
Journal_Title
Circuits and Systems I: Fundamental Theory and Applications, IEEE Transactions on
Publisher
ieee
ISSN
1057-7122
Type
jour
DOI
10.1109/81.768832
Filename
768832
Link To Document