Lur'e systems with multilayer perceptron and recurrent neural networks: absolute stability and dissipativity

Soykens J.A.K.; Vandewalle J.

首页> 外文期刊>IEEE Transactions on Automatic Control >Lur'e systems with multilayer perceptron and recurrent neural networks: absolute stability and dissipativity

【24h】

Lur'e systems with multilayer perceptron and recurrent neural networks: absolute stability and dissipativity

机译：具有多层感知器和递归神经网络的Lur'e系统：绝对稳定性和耗散性

获取原文

获取原文并翻译 | 示例

掌桥外文数据库（机构版） >>

开具论文收录证明 >>

文献代查 >>

页面导航

摘要
著录项
相似文献
相关主题

摘要

Sufficient conditions for absolute stability and dissipativity of continuous-time recurrent neural networks with two hidden layers are presented. In the autonomous case this is related to a Lur'e system with multilayer perceptron nonlinearity. Such models are obtained after parametrizing general nonlinear models and controllers by a multilayer perceptron with one hidden layer and representing the control scheme in standard plant form. The conditions are expressed as matrix inequalities and can be employed for nonlinear H/sub /spl infin// control and imposing closed-loop stability in dynamic backpropagation.

机译：提出了具有两个隐藏层的连续时间递归神经网络的绝对稳定性和耗散性的充分条件。在自主情况下，这与具有多层感知器非线性的Lur'e系统有关。这些模型是通过使用具有一个隐藏层并以标准工厂形式表示控制方案的多层感知器对通用非线性模型和控制器进行参数化后获得的。这些条件表示为矩阵不等式，可用于非线性H / sub / spl infin //控制，并在动态反向传播中施加闭环稳定性。

著录项

来源
《IEEE Transactions on Automatic Control》 |1999年第4期|P.770-774|共5页
作者
Soykens J.A.K.; Vandewalle J.;
展开▼
作者单位

展开▼
收录信息
原文格式 PDF
正文语种 eng
中图分类自动化系统;
关键词

相似文献

外文文献
中文文献
专利

1. Comments on "Lur'e systems with multilayer perceptron and recurrent neural networks: absolute stability and dissipativity" [J] . Bendtsen J.D., Trangbaek K. IEEE Transactions on Automatic Control . 2001,第4期

机译：关于“具有多层感知器和递归神经网络的Lur'e系统：绝对稳定性和耗散性”的评论
2. Lur'e systems with multilayer perceptron and recurrent neuralnetworks: absolute stability and dissipativity [J] . Soykens J.A.K., Vandewalle J., De Moor B. IEEE Transactions on Automatic Control . 1999,第4期

机译：具有多层感知器和递归神经网络的Lur'e系统：绝对稳定性和耗散性
3. Assessment of the performances of multilayer perceptron neural networks in comparison with recurrent neural networks and two statistical methods for diagnosing coronary artery disease [J] . Necdet Suet, Mustafa Senocak Expert Systems . 2007,第3期

机译：与递归神经网络和两种诊断冠状动脉疾病的统计方法相比，对多层感知器神经网络的性能进行评估
4. Absolute stability and dissipativity of continuous time multilayer recurrent neural networks [C] . Suykens, J.A.K., Vandewalle, . 1997

机译：连续时间多层递归神经网络的绝对稳定性和耗散性
5. Stability analysis of recurrent neural networks using dissipativity. [D] . Nguyen, Nam Hoai. 2012

机译：使用耗散性的递归神经网络的稳定性分析。
6. Adaptive Weibull Multiplicative Model and Multilayer Perceptron Neural Networks for Dark-Spot Detection from SAR Imagery [O] . Alireza Taravat, Natascha Oppelt 2014

机译：SAR图像暗点检测的自适应Weibull乘法模型和多层感知器神经网络
7. Estimation of absolute permeability using artificial neural networks (multilayer perceptrons) based on well logs and laboratory data from Silurian and Ordovician deposits in SE Poland [O] . Sebastian Waszkiewicz, Paulina Krakowska-Madejska, Edyta Puskarczyk 2019

机译：基于SE Poland中的井日志和实验室数据，使用人工神经网络（多层透射位）估算绝对渗透率的估计

Lur'e systems with multilayer perceptron and recurrent neural networks: absolute stability and dissipativity

摘要

著录项

相似文献

相关主题

期刊订阅