Delay-dependent H∞ state estimation of neural networks with mixed time-varying delays
作者： S. Lakshmanan , K. Mathiyalagan , Ju H. Park , R. Sakthivel , Fathalla A. Rihan
DOI: 10.1016/J.NEUCOM.2013.09.020
关键词:
摘要: In this paper, the delay-dependent H"~ state estimation of neural networks with a mixed time-varying delay is considered. By constructing suitable Lyapunov-Krasovskii functional triple integral terms and using Jensen inequality linear matrix (LMI) framework, criteria are presented so that error system globally asymptotically stable performance. The activation functions assumed to satisfy sector-like nonlinearities. estimator gain for delayed can be achieved by solving LMIs, which easily facilitated some standard numerical packages. Finally example simulation demonstrate usefulness effectiveness obtained results.
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sci-hub.se 参考文章(36)
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