文献
J-GLOBAL ID:201802268813309957
整理番号:18A0851889
加法的時変遅延を持つ一般化離散時間ニューラルネットワークに対する指数安定性と拡張散逸性基準【JST・京大機械翻訳】
Exponential stability and extended dissipativity criteria for generalized discrete-time neural networks with additive time-varying delays
著者 (7件):
Shan Yaonan
(School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu 611731, PR China)
,
She Kun
(School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu 611731, PR China)
,
Zhong Shouming
(School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu 611731, PR China)
,
Zhong Qishui
(School of Aeronautics and Astronautics, University of Electronic Science and Technology of China, Chengdu 611731, PR China)
,
Zhong Qishui
(Institute of Electronic and Information Engineering of UESTC in Guangdong, Dongguan 523808, PR China)
,
Shi Kaibo
(School of Information Science and Engineering, Chengdu University, 610106, PR China)
,
Zhao Can
(School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu 611731, PR China)
資料名:
Applied Mathematics and Computation
(Applied Mathematics and Computation)
巻:
333
ページ:
145-168
発行年:
2018年
JST資料番号:
D0568B
ISSN:
0096-3003
CODEN:
AMHCBQ
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
オランダ (NLD)
言語:
英語 (EN)