Enhanced information reconfiguration for distributed model predictive control for cyber‐physical networked systems

Wei Yongsong; Li Shaoyuan; Zheng Yi

摘要

Summary >This paper considers a class of cyber‐physical networked systems, which are composed of many interacted subsystems, and are controlled in a distributed framework. The operating point of each subsystem changes with the varying of working conditions or productions, which may cause the change of the interactions among subsystems correspondingly. How to adapt to this change with good closed‐loop optimization performance and appropriate information connections is a problem. To solve this problem, the impaction of a subsystem's control action on the performance of related closed‐loop subsystems is first deduced for measuring the coupling among subsystems. Then, a distributed model predictive control (MPC) for tracking, whose subsystems online reconfigure their information structures, is proposed based on this impaction index. When the operating points changed, each local MPC calculates the impaction indices related to its structural downstream subsystems. If and only if the impaction index exceeds a defined bound, its behavior is considered by its downstream subsystem's MPC. The aim is to improve the optimization performance of entire closed‐loop systems and avoid the unnecessary information connections among local MPCs. Besides, contraction constraints are designed to guarantee that the overall system converges to the set points. The stability analysis is also provided. Simulation results show that the proposed impaction index is reasonable along with the efficiency of the proposed distributed MPC. </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”XML：ID =“RNC4755-ABS-ABS-0001”> <标题类型=“main”>摘要</ title> >本文考虑了一类网络 - 物理网络系统，这些系统由许多互动子系统组成，并在分布式框架中控制。每个子系统的操作点随着工作条件或制作而变化，这可能会相应地导致子系统之间的相互作用的变化。如何使用良好的闭环优化性能和适当的信息连接来适应这种变化是一个问题。为了解决这个问题，首先推导出用于测量子系统之间的耦合的子系统对相关闭环子系统的性能的控制动作。然后，基于该拨号索引提出了用于跟踪的分布式模型预测控制（MPC），其子系统在线重新配置其信息结构。当操作点发生变化时，每个本地MPC计算与其结构下游子系统相关的Impaction指标。如果且仅当ImpAction索引超过定义的绑定时，其行为由其下游子系统的MPC考虑。目的是提高整个闭环系统的优化性能，并避免本地MPC之间的不必要信息连接。此外，收缩约束旨在保证整个系统会聚到设定点。还提供了稳定性分析。仿真结果表明，该拟议的拨号指数与所提出的分布MPC的效率相当合理。</ 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-21736/'>《International Journal of Robust and Nonlinear Control》</a> <b style="margin: 0 2px;">|</b><span>2020年第1期</span><b style="margin: 0 2px;">|</b><span>共25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=Wei Yongsong&option=202" target="_blank" rel="nofollow">Wei Yongsong;</a> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=Li Shaoyuan&option=202" target="_blank" rel="nofollow">Li Shaoyuan;</a> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=Zheng Yi&option=202" target="_blank" rel="nofollow">Zheng Yi;</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>Department of AutomationShanghai Jiao Tong UniversityShanghai China;</p> <p>Department of AutomationShanghai Jiao Tong UniversityShanghai China;</p> <p>Department of AutomationShanghai Jiao Tong UniversityShanghai 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=coupling systems&option=203" rel="nofollow">coupling systems;</a> <a style="color: #3E7FEB;" href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=cyber‐physical networked systems&option=203" rel="nofollow">cyber‐physical networked systems;</a> <a style="color: #3E7FEB;" href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=distributed model predictive control&option=203" rel="nofollow">distributed model predictive control;</a> <a style="color: #3E7FEB;" href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=model predictive control&option=203" rel="nofollow">model predictive control;</a> </p> <div class="translation"> 机译：耦合系统;网络物理网络系统;分布式模型预测控制;模型预测控制; </div> </li> </ul> </div> </div> <div class="literature cardcommon"> <div class="similarity "> <h3 class="all_title" id="enpatent66">相似文献</h3> <div class="similaritytab clearfix"> <ul> <li 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