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Frontiers of Information Technology & Electronic Engineering  2021 Vol.22 No.1 P.1-4

http://doi.org/10.1631/FITEE.2110000


Distributed filtering and control of complex networks and systems


Author(s):  Guanrong Chen, Sergej Čelikovský, Lei Guo, Youmin Zhang, Tiancheng Li

Affiliation(s):  Department of Electrical Engineering, City University of Hong Kong, Hong Kong, China; more

Corresponding email(s):   eegchen@cityu.edu.hk, celikovs@utia.cas.cz, lguo@buaa.edu.cn, ymzhang@encs.concordia.ca, t.c.li@nwpu.edu.cn

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Guanrong Chen, Sergej Čelikovský, Lei Guo, Youmin Zhang, Tiancheng Li. Distributed filtering and control of complex networks and systems[J]. Frontiers of Information Technology & Electronic Engineering, 2021, 22(1): 1-4.

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Abstract: 
In the last two decades, research on distributed filtering and control (FAC) has burgeoned into large-scale complex networks and systems. A distributed networked system, typically composed of a number of cost-effective dynamical nodes (agents) with limited sensing, computing, and communication capabilities, is gaining considerable popularity due to its low power consumption, simple installation, high performance, and strong reliability, as compared with the centralized setting. As a result, various network- induced FAC systems, techniques, and algorithms have emerged, including node registration and control, network consensus and synchronization, multi-sensor data clustering/fusion, network topological design and analysis, and the like. In addition, it is important to have an insightful understanding of the way networks and systems behave and evolve from the FAC perspectives. This is often critical with respect to many important problems, such as managing a limited number of sensors for the best field-of-view coverage, tackling the intrinsic interactions and unknown correlations among dynamical nodes, trade-offs between performance and constraints, or achieving automation in noisy environments, just to name a few. These problems are imperative but also challenging for their multidisciplinary nature and inherent complexity, for which various theories, techniques, and algorithms are continuously being proposed and developed; however, more research effort and endeavors are needed.

This special issue is aimed at collecting high-quality papers in the research field of distributed filtering and control of complex networks and systems; the final result includes two comprehensive reviews and nine original research papers.

复杂网络和系统的分布式滤波与控制


陈关荣1,Sergej ČELIKOVSKÝ2,郭雷3,张友民4,李天成5
1香港城市大学电机工程系,中国香港
2捷克科学院信息理论与自动化所,捷克共和国布拉格,18200
3北京航空航天大学自动化科学与电气工程学院,中国北京市,100191
4康考迪亚大学机械、工业与航空工程系,加拿大魁北克蒙特利尔,H3G1M8
5西北工业大学自动化学院信息融合技术教育部重点实验室,中国西安市,710072

摘要:近20年来,分布式滤波与控制(FAC)的研究日益扩展至大规模复杂网络和系统。与集中式网络系统相比,分布式网络系统因其低功耗、安装简单、高性能和高可靠性等优点越来越受到人们欢迎。分布式网络系统通常由多个具有有限感知、计算和通信能力的高性价比动态节点(智能体)组成。因此,各种网络诱导的FAC系统、技术和算法应运而生,包括节点注册与控制、网络一致性与同步性、多传感器数据聚类/融合、网络拓扑设计与分析等。此外,从FAC角度深入理解网络和系统的运行与演变,是解决许多关键问题的突破口,例如通过有限数量传感器获得最佳观测视场覆盖、处理动态节点之间内在交互和未知关联、权衡性能与约束、实现嘈杂环境下的自动化等。这些问题因其多学科性质与内在复杂性而颇具挑战,亟待解决。尽管学术界不断提出和完善各种理论、技术和算法,仍需更多研究和努力。
本期特刊旨在收集基于复杂网络和系统的分布式滤波与控制研究领域的高质量论文,最终选出2篇综述和9篇原创性研究论文。

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