LMI approach to the global robust stability of a larger class of neural networks with delay

Vimal Singh

Chaos, Solitons & Fractals, 2007, vol. 32, issue 5, 1927-1934

Abstract: Sufficient conditions in the form of linear matrix inequality for the uniqueness and global asymptotic stability of the equilibrium point of a large class of uncertain neural networks with delay are presented. The conditions are based on norm-bounded uncertainties. An example is given to show the effectiveness of the obtained results. A comparison is made between the present approach and an earlier approach due to Lu, Rong and Chen. An error is corrected in an earlier publication.

Date: 2007
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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:32:y:2007:i:5:p:1927-1934

DOI: 10.1016/j.chaos.2006.01.001

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