I am very pleased to announce that we have a new editorial structure for the journal, as I had noted in my column in our last issue in 2020. Consequently, since November 2020, seven experienced editors have joined the journal as Senior Editors in order to distribute the papers in their areas of expertise to Associate Editors, and monitor the review process in a more focused manner. Moving forward, authors can now consult a list of keywords representing the expertise of each Senior Editor at the time of submission in order to select the one whose expertise best aligns with their paper. I am grateful to these Senior Editors for their dedication to the IEEE SYSTEMS JOURNAL and for their commitment to elevate the journal's standing in the systems engineering community. This current issue spans diverse topics in complex systems and system-of-systems engineering, and, as always, it also includes many interdisciplinary papers. These topics include complex product manufacturing (as illustrated on the cover page), collaborative resource sharing, vehicular ad hoc networks, fault detection in different types of power grids, energy management in smart cities and smart distribution systems, road safety improvement, radar sensor networks, digital data markets, body area networks, and many others as well. There are also several papers on the application of machine learning to various types Digital Object Identifier 10.1109/JSYST.2021.3059465 of complex systems such as mobile networks, IoT-enabled systems, and wireless charging systems. I am certain that some of these articles will initiate further research in related topics, an established trend that we are now familiar with in the IEEE SYSTEMS JOURNAL.

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社论

我很高兴地宣布，正如我在2020年上一期的专栏中所指出的那样，我们为该期刊有了新的编辑结构。因此，自2020年11月以来，七位经验丰富的编辑加入了该期刊，成为高级编辑。将其专业领域的论文分发给副编辑，并以更加集中的方式监控审阅过程。展望未来，作者现在可以在提交时查阅代表每位高级编辑的专业知识的关键字列表，以选择其专业知识与论文最相符的关键字。我感谢这些资深编辑对IEEE SYSTEMS JOURNAL的奉献以及对提高期刊在系统工程界的地位的承诺。本期杂志涵盖复杂系统和系统系统工程中的各种主题，并且一如既往，它还包括许多跨学科的论文。这些主题包括复杂的产品制造（如封面所示），协作资源共享，车辆自组织网络，不同类型的电网中的故障检测，智能城市和智能配电系统中的能源管理，道路安全改进，雷达传感器网络，数字数据市场，人体局域网以及许多其他应用。关于将机器学习应用于各种类型的复杂系统（如移动网络，支持IoT的系统和无线充电系统）的数字对象标识符10.1109 / JSYST.2021.3059465的论文也很多。