Singh, VimalDepartment of Mechatronics Engineering2024-07-052024-07-0520090096-30031873-564910.1016/j.amc.2009.10.0062-s2.0-70449525124https://doi.org/10.1016/j.amc.2009.10.006https://hdl.handle.net/20.500.14411/1521Two simple criteria for global robust stability of Hopfield-type interval neural networks with delay are presented. The criteria turn out to be modified versions of an earlier criterion due to Cao, Huang, and Qu. Examples show the effectiveness of the modified criteria. Numerical simulations are carried out to confirm the applicability of the modified criteria. (C) 2009 Elsevier Inc. All rights reserved.eninfo:eu-repo/semantics/closedAccessDynamical interval neural networksEquilibrium analysisGlobal robust stabilityHopfield neural networksNeural networksNonlinear systemsTime-delay systemsModified Criteria for Global Robust Stability of Interval Delayed Neural NetworksArticleQ1215831243133WOS:00027193640003711