Author: "Yi, Chenfu" / Topic: exponential convergence - Searchworks@Jio Institute Digital Library Search Results

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Start Over Author "Yi, Chenfu" Topic exponential convergence

Author: Zhang, Yunong, Yi, Chenfu, Ma, Weimu, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Kang, Lishan, editor, Cai, Zhihua, editor, Yan, Xuesong, editor, and Liu, Yong, editor
Published: 2008
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Author: Yi, Chenfu, Zhang, Yunong, and Guo, Dongsheng
Subjects: *ARTIFICIAL neural networks, *REAL-time computing, *TIME-varying systems, *MATRICES (Mathematics), *PROBLEM solving, *COMPUTER simulation
Abstract: Abstract: A new kind of recurrent neural network is presented for solving the Lyapunov equation with time-varying coefficient matrices. Different from other neural-computation approaches, the neural network is developed by following Zhang et al.'s design method, which is capable of solving the time-varying Lyapunov equation. The resultant Zhang neural network (ZNN) with implicit dynamics could globally exponentially converge to the exact time-varying solution of such a Lyapunov equation. Computer-simulation results substantiate that the proposed recurrent neural network could achieve much superior performance on solving the Lyapunov equation with time-varying coefficient matrices, as compared to conventional gradient-based neural networks (GNN). [Copyright &y& Elsevier]
Published: 2013
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