SCIS专题 | 网络系统的掌控、优化和学习
<img src="https://mmbiz.qpic.cn/sz_mmbiz_png/nlWISd01LSwTmy8oUTd3aYF3c55a5bXkibtruKFJvPmnjiaoa2s9a8iaTufsgkAWLTJbhnqZWguX6fib0W3p3dxG7g/640?wx_fmt=png&tp=webp&wxfrom=5&wx_lazy=1&wx_co=1" style="width: 50%; margin-bottom: 20px;"><span style="color: black;">智能社会的全方位迅猛发展，对各类互联设备与系统的可扩展性、稳健性和高性能提出严苛<span style="color: black;">需求</span>；网络化系统的分布式、<span style="color: black;">有效</span>和智能能力<span style="color: black;">逐步</span><span style="color: black;">作为</span>必需，<span style="color: black;">亦</span>不可避免地暴露出其易受攻击等一系列安全性和弹性问题。</span><span style="color: black;"><span style="color: black;">同期</span>, 新型的<span style="color: black;">掌控</span>、优化、估计和学习技术全面融入网络化系统, 对其<span style="color: black;">科研</span>和分析提出了巨大挑战</span><span style="color: black;">。</span><p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><img src="https://mmbiz.qpic.cn/sz_mmbiz_png/nlWISd01LSyY5gBVjRO8FRKxoLY9h6icMicBmrljZ4D9e9SAicLm6ztH4B8bXRx5FE5xmZtruohr2bibjuoByGSahA/640?wx_fmt=png&tp=webp&wxfrom=5&wx_lazy=1&wx_co=1" style="width: 50%; margin-bottom: 20px;"></p><strong style="color: blue;"><span style="color: black;"><点 “阅读原文” 浏览和下载专题<span style="color: black;">文案</span>></span></strong><span style="color: black;"><strong style="color: blue;">特约编辑：</strong></span><span style="color: black;"><strong style="color: blue;">任伟, University of California Riverside, USA</strong></span><span style="color: black;"><strong style="color: blue;">曹明, University of Groningen, The Netherlands</strong></span><span style="color: black;"><strong style="color: blue;">陈智勇, University of Newcastle, Australia</strong></span><span style="color: black;"><strong style="color: blue;">胡国强, Nanyang Technological University, Singapore</strong></span><span style="color: black;"><strong style="color: blue;">虞文武, 东南大学, 中国</strong></span><span style="color: black;">为了更好地将最新的网络化系统的<span style="color: black;">科研</span>成果介绍给读者，</span><span style="color: black;"><strong style="color: blue;"><span style="color: black;">SCIENCE CHINA Information Sciences</span></strong></span><span style="color: black;"> 在2023年66卷第9期组织出版了“网络系统的<span style="color: black;">掌控</span>、优化和学习专题” (<span style="color: black;">Special Topic: Control, Optimization, and Learning for Networked Systems</span>)</span><span style="color: black;">。</span>01<span style="color: black;">网络化系统的安全问题<span style="color: black;">作为</span>备受关注的课题，<span style="color: black;">Secure cooperative output regulation for linear parameter-varying systems under DoS attacks: a resilient observer approach</span><span style="color: black;"> 处理了异构参数时变线性多智能体系统在DoS攻击下的协同输出调节的问题。</span></span><img src="https://mmbiz.qpic.cn/sz_mmbiz_png/nlWISd01LSyY5gBVjRO8FRKxoLY9h6icMoiact6HicElzib22XmjbibZ0DowNhLpwHfZmabvh008QicmgW4ZrlCAHDvQ/640?wx_fmt=png&tp=webp&wxfrom=5&wx_lazy=1&wx_co=1" style="width: 50%; margin-bottom: 20px;"><span style="color: black;">Predictive sliding-mode control of networked high-order fully actuated systems under random deception attacks</span><span style="color: black;"> <span style="color: black;">处理</span>了网络化高阶全驱系统在通信通道中存在<span style="color: black;">诈骗</span>攻击时的输出跟踪问题<span style="color: black;">。</span><astyle="color: black;"><span style="color: black;"><strong style="color: blue;"><span style="color: black;"><张大蔚,刘国平 | 随机<span style="color: black;">诈骗</span>攻击下网络化高阶全驱系统的预测滑模<span style="color: black;">掌控</span>></span></strong></span></a></span><img src="https://mmbiz.qpic.cn/sz_mmbiz_png/nlWISd01LSyY5gBVjRO8FRKxoLY9h6icMRLrWAcwtkXZ2cY16k9hboZl5hPETYBKTQxK1PYCqIMqhKNMPiaDzwjg/640?wx_fmt=png&tp=webp&wxfrom=5&wx_lazy=1&wx_co=1" style="width: 50%; margin-bottom: 20px;"><span style="color: black;">Data-driven cooperative output regulation of multi-agent systems under distributed denial of service attacks</span><span style="color: black;"> 提出了基于学习的<span style="color: black;">掌控</span>策略，<span style="color: black;">处理</span>了<span style="color: black;">拥有</span>未知动力学的多智能体系统在DoS攻击下的最优协同输出调节的问题</span><span style="color: black;">。</span><astyle="color: black;"><span style="color: black;"><strong style="color: blue;"><span style="color: black;"><高伟男,姜钟平 | 含有分布</span></strong></span></a><strong style="color: blue;">式DoS攻击的多智能体系统协同输出调节></strong><img src="https://mmbiz.qpic.cn/sz_mmbiz_png/nlWISd01LSyY5gBVjRO8FRKxoLY9h6icMKR3OCcsk3nnMlYtW3SWibev9DPKcc0xBpEhXzNCnyBIABJA0bmW26Ww/640?wx_fmt=png&tp=webp&wxfrom=5&wx_lazy=1&wx_co=1" style="width: 50%; margin-bottom: 20px;">02<span style="color: black;">网络化系统中的<span style="color: black;">掌控</span>问题是近来<span style="color: black;">掌控</span><span style="color: black;">行业</span>非常活跃的<span style="color: black;">科研</span>课题之一，<span style="color: black;">Sampled-data bipartite containment control over a network of wave equations</span><span style="color: black;">提出了一种分布式采样<span style="color: black;">掌控</span>协议以<span style="color: black;">处理</span>波动方程网络的二分<span style="color: black;">包括</span><span style="color: black;">掌控</span>问题</span><span style="color: black;">。</span><astyle="color: black;"><span style="color: black;"><strong style="color: blue;"><span style="color: black;"><陈艺宁,左志强,王一晶 | 波动方程网络上的采样数据二分<span style="color: black;">包括</span><span style="color: black;">掌控</span>></span></strong></span></a></span><img src="https://mmbiz.qpic.cn/sz_mmbiz_png/nlWISd01LSyY5gBVjRO8FRKxoLY9h6icMgQfZ1GuCoVndcm9N8nIdImwOsyQQrw81gzSP9vbuWD81k48OWtAztQ/640?wx_fmt=png&tp=webp&wxfrom=5&wx_lazy=1&wx_co=1" style="width: 50%; margin-bottom: 20px;"><span style="color: black;">Leaderless output sign consensus of heterogeneous multi-agent systems over switching signed graphs</span><span style="color: black;"><span style="color: black;">科研</span>了异构多智能体系统的输出符号一致性问题</span><span style="color: black;">。</span><astyle="color: black;"><span style="color: black;"><strong style="color: blue;"><span style="color: black;"><孟奕翰,张宏伟,吴爱国 | 无领导者异质多智能体系统的输出符号一致性></span></strong></span></a><img src="https://mmbiz.qpic.cn/sz_mmbiz_png/nlWISd01LSyY5gBVjRO8FRKxoLY9h6icMEazPQtaBGTJswU0J94YZrQU7YQMlnumiaB6DQFvY46aYQjaWF6BBpibQ/640?wx_fmt=png&tp=webp&wxfrom=5&wx_lazy=1&wx_co=1" style="width: 50%; margin-bottom: 20px;">03<span style="color: black;">在网络化系统估计方面，<span style="color: black;">Accuracy analysis for distributed dynamic state estimation in large-scale systems with a cyclic network graph</span><span style="color: black;"> <span style="color: black;">科研</span>了一类大规模网络化系统的分布式动态估计问题</span><span style="color: black;">。</span><astyle="color: black;"><span style="color: black;"><strong style="color: blue;"><span style="color: black;"><朱名炎,汪锐,缪小冬,隋天举 | 面向大规模有环网络系统的分布式动态状态估计精度分析></span></strong></span></a></span><img src="https://mmbiz.qpic.cn/sz_mmbiz_png/nlWISd01LSyY5gBVjRO8FRKxoLY9h6icMMWwtsFdczZBWdUDxuXkoFFoc8iaOeUicvgzflowlovUrw77icdyykrBxQ/640?wx_fmt=png&tp=webp&wxfrom=5&wx_lazy=1&wx_co=1" style="width: 50%; margin-bottom: 20px;">04<span style="color: black;">在网络化系统现实生活中的应用方面，<span style="color: black;">Distributed model-free adaptive predictive control of traffic lights for multiple interconnected intersections</span><span style="color: black;"> 提出了分布式无模型自适应预测<span style="color: black;">掌控</span>算法，<span style="color: black;">处理</span>了多交叉口交通信号灯的<span style="color: black;">掌控</span>问题</span><span style="color: black;">。</span><astyle="color: black;"><span style="color: black;"><strong style="color: blue;"><span style="color: black;"><茹心锋,梅晨义,夏卫国,石碰 | 多路口交通信号灯分布式无模型自适应预测<span style="color: black;">掌控</span>></span></strong></span></a></span><img src="https://mmbiz.qpic.cn/sz_mmbiz_png/nlWISd01LSyY5gBVjRO8FRKxoLY9h6icMQWOicicCPHwozOlpgleGCd3iaUXNrQg8PXGUI0nRsIKqicTrUkXuBDQ2Pg/640?wx_fmt=png&tp=webp&wxfrom=5&wx_lazy=1&wx_co=1" style="width: 50%; margin-bottom: 20px;">05<span style="color: black;"><span style="color: black;">另一</span>，<span style="color: black;">Iterative learning security control for discrete-time systems subject to deception and DoS attacks</span><span style="color: black;"> <span style="color: black;">科研</span>了在<span style="color: black;">诈骗</span>和DoS攻击下系统安全问题并提出了迭代学习<span style="color: black;">掌控</span>策略</span><span style="color: black;">。</span><astyle="color: black;"><span style="color: black;"><strong style="color: blue;"><span style="color: black;"><熊文军,罗子健,温广辉,杨涛 | 欺</span></strong></span></a><strong style="color: blue;">骗和DoS攻击下离散时间系统的迭代学习安全<span style="color: black;">掌控</span>></strong></span><img src="https://mmbiz.qpic.cn/sz_mmbiz_png/nlWISd01LSyY5gBVjRO8FRKxoLY9h6icMfCia4ntAzEWFHnD9tgicbgSImrWWvT2aBeya4KhvTQgxY1Mic7Q4cmQZg/640?wx_fmt=png&tp=webp&wxfrom=5&wx_lazy=1&wx_co=1" style="width: 50%; margin-bottom: 20px;"><span style="color: black;">Sliding modes: from asymptoticity, to finite time and fixed time</span><span style="color: black;"> 提出了一种新的固<span style="color: black;">按时</span>间滑模<span style="color: black;">掌控</span><span style="color: black;">办法</span></span><span style="color: black;">。</span><astyle="color: black;"><span style="color: black;"><strong style="color: blue;"><span style="color: black;"><虞文武,余星火,王和 | 滑模设计：从渐近时间到有限时间和固<span style="color: black;">按时</span>间></span></strong></span></a><img src="https://mmbiz.qpic.cn/sz_mmbiz_png/nlWISd01LSyY5gBVjRO8FRKxoLY9h6icMGF3O85Meu0FeqG6s2JaTZBzzlSWocJwFekkhCYxITAwU5jtTNicy6YQ/640?wx_fmt=png&tp=webp&wxfrom=5&wx_lazy=1&wx_co=1" style="width: 50%; margin-bottom: 20px;">
<p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">这些结果为网络化系统的<span style="color: black;">科研</span>和分析<span style="color: black;">供给</span>了有效的工具和潜在的<span style="color: black;">科研</span>方向。</span></p>
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