Singh, VimalDepartment of Mechatronics Engineering2024-07-052024-07-0520090098-98861097-007X10.1002/cta.5232-s2.0-70350506294https://doi.org/10.1002/cta.523https://hdl.handle.net/20.500.14411/1527A criterion for the global robust stability of Hopfield-type delayed neural networks with the intervalized network parameters is presented. The criterion, which is derived by utilizing the idea of splitting the given interval into two intervals, is in the form of linear matrix inequality and, hence, computationally tractable. The criterion yields a less conservative condition compared with many recently reported criteria, as is demonstrated with an example. Copyright (C) 2008 John Wiley & Sons, Ltd.eninfo:eu-repo/semantics/closedAccessdynamical interval neural networksequilibrium analysisglobal robust stabilityHopfield neural networksneural networksLetterQ33799951007WOS:0002715589000053