Globally exponential stability of neural networks with variable delays. Jiye Zhang IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications, 50(2):288–291, February, 2003.
Globally exponential stability of neural networks with variable delays [link]Paper  doi  abstract   bibtex   
In this brief, the conditions ensuring existence, uniqueness, and globally exponential stability of the equilibrium point of neural networks with variable delays are studied. Applying idea of vector Liapunov function, and -matrix theory, the sufficient conditions for global exponential stability of neural networks are obtained.
@article{jiye_zhang_globally_2003,
	title = {Globally exponential stability of neural networks with variable delays},
	volume = {50},
	issn = {1057-7122},
	url = {http://ieeexplore.ieee.org/document/1183655/},
	doi = {10.1109/tcsi.2002.808208},
	abstract = {In this brief, the conditions ensuring existence, uniqueness, and globally exponential stability of the equilibrium point of neural networks with variable delays are studied. Applying idea of vector Liapunov function, and -matrix theory, the sufficient conditions for global exponential stability of neural networks are obtained.},
	language = {en},
	number = {2},
	urldate = {2022-01-19},
	journal = {IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications},
	author = {{Jiye Zhang}},
	month = feb,
	year = {2003},
	keywords = {/unread},
	pages = {288--291},
}

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