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On global robust stability for a class of static recurrent neural networks with delays

TAO Ni, WANG Lin-shan   

  1. Department of Mathematics, Ocean University of China, Qingdao 266071, Shandong, China
  • Received:1900-01-01 Revised:1900-01-01 Online:2006-10-24 Published:2006-10-24
  • Contact: TAO Ni

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Abstract: By using properties of the M-matrix, method of Liapunov function and inequality technique, the global robust stability for a class of static recurrent neural networks with delays was studied, and a new algebraic criterion was given.

Key words: global robust stability , delays, static neural networks

CLC Number: 

  • O175
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