Observer‐based fault estimators using iterative learning scheme for nonlinear time‐delay systems with intermittent faults

机译：基于观察者的故障估计，使用具有间歇性故障的非线性时延系统迭代学习方案

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Summary xml:id="rnc3747-para-0001"> This paper deals with the intermittent fault estimation problem for a class of nonlinear time‐delay systems with measurement noise. The time delays are assumed to occur in state vector, nonlinear term as well as output vector, thus reflecting the time delays influence in reality more closely. The aim of the problem is to estimate the intermittent fault by using iterative learning scheme, with the property of <mat:math xmlns:mat="http://www.w3.org/1998/Math/MathML" display="inline" altimg="urn:x-wiley:rnc:media:rnc3747:rnc3747-math-0001" xmlns:wiley="http://www.wiley.com/namespaces/wiley/wiley" wiley:location="equation/rnc3747-math-0001.png"> <mat:mi>H</mat:mi> <mat:mi>∞</mat:mi> </mat:math> index, hence attenuating the influence from measurement noise. Different from existing fault estimating schemes, the state error information and fault estimating information in the previous iteration are used in the current iteration to improve the estimating results. The stability and convergence of iterative learning observer and uniform boundedness of dynamic error system are achieved by using Lyapunov function and optimal function design. Simultaneously, an improved sufficient condition for the existence of such an estimator is established in terms of the linear matrix inequality by the Schur complements and Young relations. Furthermore, the results are both suited for the systems with time‐varying delay and the systems with constant delay. Finally, two numerical examples are proposed to illustrate the effectiveness of the proposed method, and a comparability example is presented to demonstrate its superiority. Copyright ? 2017 John Wiley & Sons, Ltd. </abstract> </span> <span class="z_kbtn z_kbtnclass hoverxs" style="display: none;">展开▼</span> </div> <div class="translation abstracttxt"> <span class="zhankaihshouqi fivelineshidden" id="abstract"> <span>机译：</span><abstract xmlns =“http://www.wiley.com/namespaces/wiley”type =“main”xml：id =“rnc3747-abs-abs-0001”> <标题类型=“main”>摘要</ title> < P XML：ID =“RNC3747-PARA-0001”>本文涉及具有测量噪声的一类非线性时延系统的间歇故障估计问题。假设在状态向量，非线性术语以及输出向量中发生时间延迟，从而反映了更紧密地延迟现实的影响。问题的目的是通过使用迭代学习方案来估算间歇性故障，其中<mat：math xmlns：mat =“http://www.w3.org/1998/math/mathml”display =“内联“Altimg =”URN：X-Wiley：RNC：媒体：RNC3747：RNC3747-Math-0001“XMLNS：Wiley =”http://www.wiley.com/namespaces/wiley/wiley“wiley：location =”等式/ RNC3747-Math-0001.png“> <mat：mi> h </ mat：mi> <mat：mi>∞</ mat：mi> </ mat：math>索引，从而减轻测量噪声的影响。与现有故障估计方案不同，在前迭代中的状态误差信息和故障估计信息用于当前迭代以改善估计结果。利用Lyapunov函数和最佳功能设计，实现了迭代学习观察者和动态误差系统均匀界限的稳定性和收敛性。同时，就SCUR补充和年轻关系的线性矩阵不等式而建立了存在这种估计器的存在的改进的足够条件。此外，结果既适用于具有时变延迟的系统和具有恒定延迟的系统。最后，提出了两个数值例子来说明所提出的方法的有效性，并提出了一种可比性示例以证明其优越性。版权？ 2017年John Wiley＆amp; SONS，LTD。</ p> </ abstract> </span> <span class="z_kbtn z_kbtnclass hoverxs" style="display: none;">展开▼</span> </div> </div> <div class="record"> <h2 class="all_title" id="enpatent33" >著录项</h2> <ul> <li> <span class="lefttit">来源</span> <div style="width: 86%;vertical-align: text-top;display: inline-block;"> <a href='/journal-foreign-21736/'>《International Journal of Robust and Nonlinear Control》</a> <b style="margin: 0 2px;">|</b><span>2017年第17期</span><b style="margin: 0 2px;">|</b><span>共21页</span> </div> </li> <li> <div class="author"> <span class="lefttit">作者</span> <p id="fAuthorthree" class="threelineshidden zhankaihshouqi"> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=Feng Li&option=202" target="_blank" rel="nofollow">Feng Li;</a> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=Chai Yi&option=202" target="_blank" rel="nofollow">Chai Yi;</a> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=Xu Shuiqing&option=202" target="_blank" rel="nofollow">Xu Shuiqing;</a> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=Yang Zhimin&option=202" target="_blank" rel="nofollow">Yang Zhimin;</a> </p> <span class="z_kbtnclass z_kbtnclassall hoverxs" id="zkzz" style="display: none;">展开▼</span> </div> </li> <li> <div style="display: flex;"> <span class="lefttit">作者单位</span> <div style="position: relative;margin-left: 3px;max-width: 639px;"> <div class="threelineshidden zhankaihshouqi" id="fOrgthree"> <p>State Key Laboratory of Power Transmission Equipment and System Security and New TechnologyChongqing UniversityChongqing 400044 China;</p> <p>State Key Laboratory of Power Transmission Equipment and System Security and New TechnologyChongqing UniversityChongqing 400044 China;</p> <p>State Key Laboratory of Power Transmission Equipment and System Security and New TechnologyChongqing UniversityChongqing 400044 China;</p> <p>State Key Laboratory of Power Transmission Equipment and System Security and New TechnologyChongqing UniversityChongqing 400044 China;</p> </div> <span class="z_kbtnclass z_kbtnclassall hoverxs" id="zhdw" style="display: none;">展开▼</span> </div> </div> </li> <li > <span class="lefttit">收录信息</span> <span style="width: 86%;vertical-align: text-top;display: inline-block;"></span> </li> <li> <span class="lefttit">原文格式</span> <span>PDF</span> </li> <li> <span class="lefttit">正文语种</span> <span>eng</span> </li> <li> <span class="lefttit">中图分类</span> <span><a href="https://www.zhangqiaokeyan.com/clc/7742.html" title="自动化系统">自动化系统;</a></span> </li> <li class="antistop"> <span class="lefttit">关键词</span> <p style="width: 86%;vertical-align: text-top;"> <a style="color: #3E7FEB;" href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=intermittent fault&option=203" rel="nofollow">intermittent fault;</a> <a style="color: #3E7FEB;" href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=fault estimation&option=203" rel="nofollow">fault estimation;</a> <a style="color: #3E7FEB;" href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=iterative learning scheme&option=203" rel="nofollow">iterative learning scheme;</a> <a style="color: #3E7FEB;" href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=nonlinear time‐delay systems&option=203" rel="nofollow">nonlinear time‐delay systems;</a> <a style="color: #3E7FEB;" href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=linear matrix inequality&option=203" rel="nofollow">linear matrix inequality;</a> </p> <div class="translation"> 机译：间歇性故障;故障估计;迭代学习方案;非线性时滞系统;线性矩阵不等式; </div> </li> </ul> </div> </div> <div class="literature cardcommon"> <div class="similarity "> <h3 class="all_title" 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