Call For Papers
Intelligence & Control
Intelligent Control of Networked Systems and Applications
Background Networked systems, a cutting-edge fusion of information technology and control theory, encompass diverse fields ranging from the Internet and Internet of Things to industrial control networks, serving as a crucial foundation for intelligent, remote, and real-time control. With the increasing scale and complexity of systems, networked systems face significant challenges in stability, security, and coordination. Intelligent control technologies offer innovative solutions for optimizing the operation and real-time control of networked systems by introducing advanced algorithms and adaptive strategies. This topic issue calls for the latest research achievements and application studies of intelligent control in networked systems, fostering academic exchange, driving technological innovation, and exploring future development directions. Topics of Interest Include (but are not limited to): Modeling and Analysis of Networked Systems Deep learning-based modeling and parameter identification for networked systems Analysis of the impact of network topology on system dynamic characteristics Time-delay compensation and stability analysis for networked systems Modeling and simulation of complex networked environments Intelligent Control Strategies and Methods Artificial intelligence-based adaptive control for networked systems Robust control and anti-interference strategies for networked systems Application of distributed control and optimization algorithms in networked systems Event-triggered and data-driven control methods Network Security and Privacy Protection Security control and intrusion detection for networked systems Application of privacy protection technologies in networked control Encrypted control and secure information transmission strategies System recovery and resilience enhancement under network attacks Application Domains Networked control in industrial Internet of Thing and intelligent manufacturing Networked management of smart grids and renewable energy systems Networked cooperative control for intelligent transportation systems Networked monitoring and optimization in smart cities Submission Link: https://sciflux.org/authors/submissions Journal Homepage: https://www.sciltp.com/journals/ic Editorial Office Contact: ic@sciltp.com Submission Deadline: 30 June 2027 Academic editors Ben Niu, Dalian University of Technology niubensdnu@163.com Xiaomei Wang, Chongqing University wlwxmei@163.com Xinjun Wang, Shandong Normal University wangxinjunsdnu@163.com Jidong Liu, Shandong Normal University liujidongsdnu@163.com Hong Sang, Dalian Maritime University sanghong@dlmu.edu.cn All manuscripts will undergo peer review in accordance with the journal’s established policies and procedures. Final acceptance will be based on the peer-review reports and the evaluation of the Academic Editors and the Editor-in-Chief. Decisions will be made by the Editor-in-Chief or Academic Editors who have no conflicts of interest with any of the authors.
Intelligence & Control
Deadline: 30 Jun 2027Advances in Distributed Observation and Coordination of Intelligent Networked Systems
Topic Issue Information With the rapid development of autonomous systems, robotic networks, cyber-physical systems, and intelligent sensing and communication technologies, networked systems are becoming increasingly distributed, interconnected, and intelligent. By exchanging information among interconnected nodes or agents, these systems are capable of distributed sensing, information processing, decision-making, and coordinated operation, providing enhanced flexibility, scalability, and autonomy for complex engineering applications. A fundamental challenge in intelligent networked systems is that individual nodes or agents typically have access only to partial and local information. Limited sensing capabilities, communication constraints, system uncertainties, disturbances, and dynamic network environments further complicate the acquisition and utilization of global information. Distributed observation provides an effective framework for reconstructing unavailable states, reference signals, and other essential information through local measurements and interactions among neighboring nodes, thereby providing an important foundation for distributed decision-making and coordination. Beyond information acquisition, effective coordination is essential for networked systems to achieve collective objectives. Recent developments in distributed control, optimization, data-driven methods, and learning-based techniques have provided new opportunities for improving the autonomy, adaptability, and robustness of networked systems. The integration of distributed observation with advanced coordination mechanisms is therefore of growing importance for enabling intelligent networked systems to operate reliably under limited information, communication constraints, and complex environmental conditions. This Topic Issue aims to bring together recent theoretical, methodological, and application-oriented advances in distributed observation and coordination of intelligent networked systems. Particular attention is given to new approaches for distributed information acquisition, cooperative decision-making, and coordinated operation under limited sensing and communication. Both model-based and data-driven approaches are encouraged, together with their applications to emerging autonomous and networked systems. This Topic Issue will welcome manuscripts that link the following themes: Distributed observation, estimation, and information fusion for intelligent networked systems Intelligent decision-making and cooperative control in networked systems Learning-based and data-driven distributed observation and coordination Distributed perception, planning, and coordination in intelligent networked systems Adaptive observation and coordination under communication constraints and uncertainties Intelligent networked autonomous systems and multi-robot applications Academic Editors Mingkang Long Email: mingkang.long@ntu.edu.sg Nanyang Technological University, Singapore Xiaoling Wang Email: xiaolingwang@njupt.edu.cn Nanjing University of Posts and Telecommunications, China Suoxia Miao Email: suoxiamiao1215@163.com Jiangxi University of Water Resources and Electric Power, China Ruochen Tai Email: ruochen_tai@hust.edu.cn Huazhong University of Science and Technology, China Han Wu Email: wuhan@wust.edu.cn Wuhan University of Science and Technology, China Housheng Su Email: houshengsu@gmail.com Huazhong University of Science and Technology, China All manuscripts will undergo peer review in accordance with the journal’s established policies and procedures. Final acceptance will be based on the peer-review reports and the evaluation of the Academic Editors and the Editor-in-Chief. Decisions will be made by the Editor-in-Chief or Academic Editors who have no conflicts of interest with any of the authors.
Intelligence & Control
Deadline: 30 May 2027
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