caa a22 4500 445295023 CHVBK 20180317142539.0 cr unu---uuuuu 170323e20101201xx s 000 0 eng 10.1007/s11571-010-9123-z doi (NATIONALLICENCE)springer-10.1007/s11571-010-9123-z Robust stability analysis of delayed Takagi-Sugeno fuzzy Hopfield neural networks with discontinuous activation functions [Elektronische Daten] [Xiru Wu, Yaonan Wang, Lihong Huang, Yi Zuo] In this paper, the global robust stability problem of delayed Takagi-Sugeno fuzzy Hopfield neural networks with discontinuous activation functions (TSFHNNs) is considered. Based on Lyapunov stability theory and M-matrices theory, we derive a stability criterion to guarantee the global robust stability of TSFHNNs. Compared with the existing literature, we remove the assumptions on the neuron activations such as Lipschitz conditions, bounded, monotonic increasing property or the assumption that the right-limit value is bigger than the left one at the discontinuous point. Finally, two numerical examples are given to show the effectiveness of the proposed stability results. Springer Science+Business Media B.V., 2010 Delayed Hopfield neural network nationallicence Global robust asymptotical stability nationallicence Discontinuous neuron activations nationallicence M -matrices theory nationallicence T-S fuzzy model nationallicence Wu Xiru College of Electric and Information Technology, Hunan University, 410082, Changsha, Hunan, People's Republic of China aut Wang Yaonan College of Electric and Information Technology, Hunan University, 410082, Changsha, Hunan, People's Republic of China aut Huang Lihong College of Mathematics and Econometrics, Hunan University, 410082, Changsha, Hunan, People's Republic of China aut Zuo Yi School of Energy and Power Engineering, Changsha University of Science and Technology, 410004, Changsha, Hunan, People's Republic of China aut Cognitive Neurodynamics Springer Netherlands 4/4(2010-12-01), 347-354 1871-4080 4:4<347 2010 4 11571 https://doi.org/10.1007/s11571-010-9123-z text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11571-010-9123-z text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Wu Xiru College of Electric and Information Technology, Hunan University, 410082, Changsha, Hunan, People's Republic of China aut NATIONALLICENCE 700 1- Wang Yaonan College of Electric and Information Technology, Hunan University, 410082, Changsha, Hunan, People's Republic of China aut NATIONALLICENCE 700 1- Huang Lihong College of Mathematics and Econometrics, Hunan University, 410082, Changsha, Hunan, People's Republic of China aut NATIONALLICENCE 700 1- Zuo Yi School of Energy and Power Engineering, Changsha University of Science and Technology, 410004, Changsha, Hunan, People's Republic of China aut NATIONALLICENCE 773 0- Cognitive Neurodynamics Springer Netherlands 4/4(2010-12-01), 347-354 1871-4080 4:4<347 2010 4 11571 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer