caa a22 4500 606160523 CHVBK 20210128100630.0 cr unu---uuuuu 210128e20150201xx s 000 0 eng 10.1007/s00521-014-1737-3 doi (NATIONALLICENCE)springer-10.1007/s00521-014-1737-3 Stability of uncertain impulsive stochastic fuzzy neural networks with two additive time delays in the leakage term [Elektronische Daten] [Jun Li, Manfeng Hu, Liuxiao Guo, Yongqing Yang, Yinghua Jin] This paper is concerned with the stability problem for a class of impulsive neural networks model, which includes simultaneously parameter uncertainties, stochastic disturbances and two additive time-varying delays in the leakage term. By constructing a suitable Lyapunov-Krasovskii functional that uses the information on the lower and upper bound of the delay sufficiently, a delay-dependent stability criterion is derived by using the free-weighting matrices method for such Takagi-Sugeno fuzzy uncertain impulsive stochastic recurrent neural networks. The obtained conditions are expressed with linear matrix inequalities (LMIs) whose feasibility can be checked easily by MATLAB LMI Control toolbox. Finally, the theoretical result is validated by simulations. The Natural Computing Applications Forum, 2014 Asymptotic stability nationallicence Impulsive stochastic fuzzy neural networks nationallicence Two additive time-varying delays nationallicence Lyapunov-Krasovskii functional nationallicence Li Jun School of Science, Jiangnan University, 214122, Wuxi, China aut Hu Manfeng Key Laboratory of Advanced Process Control for Light Industry, Ministry of Education, Institute of Automation, Jiangnan University, 214122, Wuxi, China aut Guo Liuxiao School of Science, Jiangnan University, 214122, Wuxi, China aut Yang Yongqing School of Science, Jiangnan University, 214122, Wuxi, China aut Jin Yinghua School of Science, Jiangnan University, 214122, Wuxi, China aut Neural Computing and Applications Springer London 26/2(2015-02-01), 417-427 0941-0643 26:2<417 2015 26 521 https://doi.org/10.1007/s00521-014-1737-3 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00521-014-1737-3 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Li Jun School of Science, Jiangnan University, 214122, Wuxi, China aut NATIONALLICENCE 700 1- Hu Manfeng Key Laboratory of Advanced Process Control for Light Industry, Ministry of Education, Institute of Automation, Jiangnan University, 214122, Wuxi, China aut NATIONALLICENCE 700 1- Guo Liuxiao School of Science, Jiangnan University, 214122, Wuxi, China aut NATIONALLICENCE 700 1- Yang Yongqing School of Science, Jiangnan University, 214122, Wuxi, China aut NATIONALLICENCE 700 1- Jin Yinghua School of Science, Jiangnan University, 214122, Wuxi, China aut NATIONALLICENCE 773 0- Neural Computing and Applications Springer London 26/2(2015-02-01), 417-427 0941-0643 26:2<417 2015 26 521