caa a22 4500 606159339 CHVBK 20210128100624.0 cr unu---uuuuu 210128e20151001xx s 000 0 eng 10.1007/s00521-014-1812-9 doi (NATIONALLICENCE)springer-10.1007/s00521-014-1812-9 Stability of Markovian jump neural networks with mode-dependent delays and generally incomplete transition probability [Elektronische Daten] [Jing Xie, Yonggui Kao] This paper deals with the robust exponential stability problem for a class of Markovian jump neural networks with mode-dependent delays and generally incomplete transition probability. The delays vary randomly depending on the mode of the networks. Each transition rate can be completely unknown, or only its estimate value is known. By using a new Lyapunov-Krasovskii functional, a delay-dependent stability criterion is presented in terms of linear matrix inequalities (LMIs). The proposed LMI results extend the earlier publications. Finally, a numerical example is given to show the effectiveness and efficiency of the results. The Natural Computing Applications Forum, 2015 Markovian jumping neural networks nationallicence Robust exponential stability nationallicence Mode-dependent delay nationallicence Linear matrix inequality nationallicence Generally incomplete transition probability nationallicence Xie Jing School of Science, Harbin Institute of Technology, 264209, Weihai, China aut Kao Yonggui School of Science, Harbin Institute of Technology, 264209, Weihai, China aut Neural Computing and Applications Springer London 26/7(2015-10-01), 1537-1553 0941-0643 26:7<1537 2015 26 521 https://doi.org/10.1007/s00521-014-1812-9 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/s00521-014-1812-9 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Xie Jing School of Science, Harbin Institute of Technology, 264209, Weihai, China aut NATIONALLICENCE 700 1- Kao Yonggui School of Science, Harbin Institute of Technology, 264209, Weihai, China aut NATIONALLICENCE 773 0- Neural Computing and Applications Springer London 26/7(2015-10-01), 1537-1553 0941-0643 26:7<1537 2015 26 521