کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
1139904 | 1489422 | 2013 | 13 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A new type of recurrent neural networks for real-time solution of Lyapunov equation with time-varying coefficient matrices
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
سایر رشته های مهندسی
کنترل و سیستم های مهندسی
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: A new type of recurrent neural networks for real-time solution of Lyapunov equation with time-varying coefficient matrices A new type of recurrent neural networks for real-time solution of Lyapunov equation with time-varying coefficient matrices](/preview/png/1139904.png)
چکیده انگلیسی
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).
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Mathematics and Computers in Simulation - Volume 92, June 2013, Pages 40–52
Journal: Mathematics and Computers in Simulation - Volume 92, June 2013, Pages 40–52
نویسندگان
Chenfu Yi, Yunong Zhang, Dongsheng Guo,