Delay-dependent H filtering for neural networks with time delay

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Abstract

The H filter design problem of recurrent neural networks with time delay is considered. Based on delay decomposition approach, the delay-dependent condition is derived to ensure that the filtering error system is globally asymptotically stable with a guaranteed performance. And the design of such a filter can be solved by the linear matrix inequality. A numerical example is provided to demonstrate that the developed approach is efficient.

Original languageEnglish
Title of host publicationSensors, Mechatronics and Automation
Pages875-879
Number of pages5
DOIs
StatePublished - 2014
Externally publishedYes
Event2013 International Conference on Sensors, Mechatronics and Automation, ICSMA 2013 - Shenzhen, China
Duration: 24 Dec 201325 Dec 2013

Publication series

NameApplied Mechanics and Materials
Volume511-512
ISSN (Print)1660-9336
ISSN (Electronic)1662-7482

Conference

Conference2013 International Conference on Sensors, Mechatronics and Automation, ICSMA 2013
Country/TerritoryChina
CityShenzhen
Period24/12/1325/12/13

Keywords

  • Delay decomposition
  • Delay-dependent
  • H filtering
  • Neural network

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