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首页> 外文期刊>Neural Networks: The Official Journal of the International Neural Network Society >An Arcak-type state estimation design for time-delayed static neural networks with leakage term based on unified criteria
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An Arcak-type state estimation design for time-delayed static neural networks with leakage term based on unified criteria

机译：基于统一标准的泄漏术语时延静态神经网络的Arcak型状态估计设计

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摘要

The issue of unified dissipativity-based Arcak-type state estimator design for delayed static neural networks (SNNs) with leakage term and noise distraction was considered here. An Arcak-type state observer, which is compact than the usually used Luenberger-type state estimator, is selected to implement the subject of a unified dissipativity performance of SNNs. This paper primarily concentrates on the issue of Arcak-type state estimator of delayed SNNs involving leakage delay. The first attempt is made to tackle the Arcak-type state estimator of SNNs with time delay in leakage term in this paper based on the unified criteria, by constructing a novel Lyapunov functional together with newly improved integral inequalities. As a result, a novel unified state estimation criterion is launched in the form of linear matrix inequalities (LMIs) and put forward to justify the dynamics of error system is extended dissipative with the influence of leakage term and estimator gain matrices (kappa) over bar (1) and (kappa) over bar (2). Finally, an interesting simulation study is ultimately explored to show the performance of the established unified dissipativity-based theoretical results, in which, comparison results are also made together with recent works as a special case. (C) 2018 Elsevier Ltd. All rights reserved.
机译：这里考虑了延迟静态神经网络（SNNS）的统一消散性的Arcak型状态估计设计问题，并且在此处考虑了泄漏术语和噪声分担。选择比通常使用的Luenberger型状态估计器紧凑的Arcak型状态观察者，以实现SNNS的统一耗散性能的主题。本文主要集中在涉及泄漏延迟的延迟SNNS的Arcak型状态估计问题上。第一次尝试通过基于统一标准，通过构建新改善的整体不平等的新颖的Lyapunov功能，在本文中，在本文中，在本文的泄漏术语中与泄漏术语的时间延迟进行解决。结果，以线性矩阵不等式（LMI）的形式推出了一种新颖的统一状态估计标准，并提出了证明误差系统的动态是延长泄漏期和估计增益矩阵（Kappa）上方的影响（1）和（kappa）在酒吧（2）。最后，最终探索了一个有趣的模拟研究以表明既定的统一耗散基础理论结果的性能，其中，比较结果也与最近的作品一起作为一个特殊情况。 （c）2018年elestvier有限公司保留所有权利。

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