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Inverse optimal neural control via passivity approach for nonlinear anaerobic bioprocesses with biofuels production

机译:通过具有生物燃料生产非线性厌氧生物处理的传承方法逆最佳神经控制

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Summary > This paper proposes an inverse optimal neural control method of a nonlinear anaerobic bioprocesses model for simultaneous hydrogen and methane production in presence of disturbances. Based on the fundamental properties of the system, a passivity approach is designed such that asymptotic stability is guaranteed. A recurrent high‐order neural network for unknown nonlinear systems in presence of unknown bounded disturbances and parameter uncertainties is proposed to identify nonmeasurable state variables of the system, which are directly related to biofuels production. Optimal control laws based on the neural model are proposed so that the passivation of the entire plant is preserved. The neural control strategy performance for trajectory tracking in presence of disturbances is proven. Results via simulation show the optimal control methodology efficiency to stabilize the H <sub>2</sub> and CH <sub>4</sub> productions along desired trajectories even in presence of disturbances. </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 Type =“Main”XML:Lang =“en”> <标题类型=“main”>摘要</ title> > 本文提出了一种非线性厌氧生物处理模型的逆最佳神经控制方法,用于在干扰存在下同时氢和甲烷产量。基于系统的基本性质,设计了一种被动性方法,使得保证了渐近稳定性。提出了一种用于存在未知界限干扰和参数不确定性的未知非线性系统的经常性高阶神经网络,以识别系统的不可误态变量,其与生物燃料生产直接相关。提出了基于神经模型的最佳控制定律,以便保留整个植物的钝化。证明了干扰存在下轨迹跟踪的神经控制策略性能。结果通过模拟显示最佳控制方法效率稳定H. <sub> 2 </ sub> 和ch. <sub> 4 </ sub> 即使在存在干扰,沿着所需轨迹的制作。 </ p> </摘要> </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-27675/'>《Optimal Control Applications and Methods》</a> <b style="margin: 0 2px;">|</b><span>2019年第5期</span><b style="margin: 0 2px;">|</b><span>共11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=Gurubel Kelly J.&option=202" target="_blank" rel="nofollow">Gurubel Kelly J.;</a> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=Sanchez Edgar N.&option=202" target="_blank" rel="nofollow">Sanchez Edgar N.;</a> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=Coronado‐Mendoza Alberto&option=202" target="_blank" rel="nofollow">Coronado‐Mendoza Alberto;</a> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=Zuniga‐Grajeda Virgilio&option=202" target="_blank" rel="nofollow">Zuniga‐Grajeda Virgilio;</a> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=Sulbaran‐Rangel Belkis&option=202" target="_blank" rel="nofollow">Sulbaran‐Rangel Belkis;</a> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=Breton‐Deval Luz&option=202" target="_blank" rel="nofollow">Breton‐Deval Luz;</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>Water and Energy DepartmentCUTONALA Universidad de GuadalajaraTonalá México;</p> <p>Automatic Control DepartmentCINVESTAV GuadalajaraZapopan México;</p> <p>Water and Energy DepartmentCUTONALA Universidad de GuadalajaraTonalá México;</p> <p>Water and Energy DepartmentCUTONALA Universidad de GuadalajaraTonalá México;</p> <p>Water and Energy DepartmentCUTONALA Universidad de GuadalajaraTonalá México;</p> <p>Biotechnology Institute National Autonomous University of MexicoCuernavaca México;</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/1147.html" title="应用数学">应用数学;</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=anaerobic bioprocesses&option=203" rel="nofollow">anaerobic bioprocesses;</a> <a style="color: #3E7FEB;" href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=biofuels&option=203" rel="nofollow">biofuels;</a> <a style="color: #3E7FEB;" href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=inverse optimal control&option=203" rel="nofollow">inverse optimal control;</a> <a style="color: #3E7FEB;" href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=passivity&option=203" rel="nofollow">passivity;</a> <a style="color: #3E7FEB;" href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=recurrent neural network&option=203" rel="nofollow">recurrent neural network;</a> </p> <div class="translation"> 机译:Anaerobic BioProcesses;生物燃料;反向最佳控制;被动;经常性神经网络; 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