Welcome to Journal of Beijing Institute of Technology
| Citation: | YUAN Zhu-gang, LIU Zhi-yuan, PEI Run, SHEN Tao. Global stability of interval recurrent neural networks[J].JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2012, 21(3): 382-386.
|
| [1] |
Meng Joo Er, Wu Shiqian, Lu Juwei, et al. Face recognition with radial basis function (RBF) neural networks [J]. IEEE Trans Neural Networks, 2002, 13(3): 697-710.
|
| [2] |
Meng Joo Er, Gao Yang. Robust adaptive control of robot manipulators using generalized fuzzy neural networks [J]. IEEE Trans on Industrial Electronics, 2003, 50(3): 620-628.
|
| [3] |
Forti M, Manetti S, Marini M. Necessary and sufficient condition for absolute stability of neural networks [J]. IEEE Trans Circuits and Systems I, 1994, 41(7): 491-494.
|
| [4] |
Yi Zhang, Tan Kok-Kiong. Multistability of discrete-time recurrent neural networks with unsaturating piecewise linear activation functions [J]. IEEE Trans Neural Networks, 2004, 15(2): 329-336.
|
| [5] |
Zhang Qiang, Ma Runnian, Xu Jin. Stability of cellular neural networks with delay [J]. Electronics Letters, 2001, 37(9): 575-576.
|
| [6] |
Huang Y S, Wu Chai-Wah. A unifying proof of global asymptotical stability of neural networks with delay [J]. IEEE Trans Circuits and Systems II, 2005, 52(4): 181-184.
|
| [7] |
Cao Jinde, Wang Jun. Absolute exponential stability of recurrent neural networks with Lipschitz-continuous activation functions and time delays [J]. Neural Networks, 2004, 17(3): 379-390.
|
| [8] |
Liao Xiaofeng, Yu Juebang, Chen Guanrong. Novel stability criteria for bidirectional associative memory neural networks with time delays [J]. Int J Circuit Theory and Applications, 2002, 30(5): 519-546.
|
| [9] |
Xu S, Lam J, Ho D W C, et al. Global robust exponential stability analysis for interval recurrent neural networks [J]. Physics Letters A, 2004, 325(2): 124-133.
|
| [10] |
Liao Xiaofeng, Wong Kwok-wo. Robust stability of interval bidirectional associative memory neural network with time delays [J]. IEEE Trans Systems, Man, and Cybernetics, Part B, 2004, 34(2): 1142-1154.
|
| [11] |
Pastravanu O, Matcovschi M-H. Absolute componentwise stability of interval hopfield neural networks [J]. IEEE Trans Systems, Man, and Cybernetics, Part B, 2005, 35(1): 136-141.
|
| [12] |
Singh V. Global robust stability of delayed neural networks: an LMI approach [J]. IEEE Trans Circuits and Systems II, 2005, 52(1): 33-36.
|
| [13] |
Zheng Chengde, Zhang Huaguang, Wang Zhanshan. Improved robust stability criteria for delayed cellular neural networks via the LMI approach [J]. IEEE Trans Circuits and Systems II, 2010, 57(1): 41-45.
|
| [14] |
Singh V. Improved global robust stability criterion for interval delayed neural networks [J]. IET Control Theory and Applications, 2009, 3(12): 1648-1653.
|
| [15] |
Yang Rongni, Gao Huijun, Shi Peng. Novel robust stability criteria for stochastic hopfield neural networks with time delays [J]. IEEE Trans Systems, Man, and Cybernetics, Part B, 2009, 39(2): 467-474.
|
| [16] |
Xiao Shenping, Zhang Xianming. New globally asymptotic stability criteria for delayed cellular neural networks [J]. IEEE Trans Circuits and Systems II, 2009, 56(8): 659-663.
|
| [17] |
Singh V. Global robust stability of interval delayed neural networks [J]. IET Control Theory and Applications, 2009, 3(6): 741-749.
|
| [18] |
Shen T, Zhang Y. Improved global robust stability criteria for delayed neural networks [J]. IEEE Trans Circuits and Systems II, 2007, 54(8): 715-719. (Edited by
|
Supported by:Beijing Renhe Information Technology Co. Ltd
DownLoad: