Passivity Analysis of Continuous-Time Recurrent Neural Networks with Delays

摘要：

In this paper, by using some analytic techniques, several sufficient conditions are given to ensure the passivity of continuous-time recurrent neural networks with delays. The passivity conditions are presented in terms of a negative semi-definite matrix declared. They are easily ver-ifiable and easier to check computing with some conditions in terms of complicated linear matrix inequality.

关键词： Passivity Neural networks Delays Negative semi-definite matriz Linear matriz in equality

作者: Zhigang Zeng Tingwen Huang

作者单位: Department of Control Science and Engineering, Huazhong University of Science and Technology, Wuhan, Texas A&M University at Qatar, Doha, P.O. Box 5825, Qatar

会议类型: 国际会议

会议名称: The First World Congress on Global Optimization in Engineering & Science(第一届工程与科学全局优化国际会议 WCGO2009)

会议地点: 长沙

会议语种:英文

页码: 364-371

在线出版日期: 2009-06-01（万方平台首次上网日期，不代表论文的发表时间）