Information

Scope

In the last two decades, research on Filtering and tracking (FAT) has burgeoned with the vitalization of large-scale complex networks and systems. A distributed networked system is typically composed of a number of cost-effective dynamical nodes (agents) with limited sensing, computing and communication capabilities, which is gaining considerable popularity due to its low power consumption and simple installation, with high performance and strong reliability. As a result, various network-induced FAT systems, techniques and algorithms have emerged, including such as node registration and control, network consensus and synchronization, multi-source data clustering/decoupling/fusion, network topological design/analysis, and the like. In addition, understanding how networks and systems behave and evolve from the FAT perspectives is also important and insightful. This is often critical in the regard of many important problems such as managing a limited number of sensors for the best field-of-view coverage in motion monitoring, tackling the intrinsic interactions among dynamical nodes, trade-off between performance and constraints, achieving automation in noisy environments, to name just 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, and yet it is still calling for more research efforts and endeavors.

This Special Issue aims at collecting high-quality papers within the research field of distributed filtering and control of complex networks and systems. All original research papers, as well as survey/review/tutorial-type papers or scientific commentary letters, on the following and relevant topics are welcome.


Topics

Topics of interest include (but are not limited to):

  • Distributed Kalman filtering, distributed particle filtering, Multi-sensor multi-scale filtering
  • Distributed random finite-set approaches, e.g., distributed PHD filtering
  • Distributed (multiple) target detection and tracking
  • Wireless netted sensor registration, synchronization, control and management
  • Average consensus algorithms and applications
  • Massage passing, belief propagation, factor graphs
  • Multi-agent system-based filtering and control
  • Distributed and networked control systems
  • Networked Autonomous Vehicles, Formation/containment control
  • Distributed cyber-physical systems (CPS)
  • Network disturbance rejection control and fault diagnosis
  • Bayesian networks, Boolean networks

Committee

Organizing Committee

  • Prof. Weifeng Liu, Shaanxi University of Science and Technology, China
  • Dr. Yun Zhu, Shaanxi Normal University, China
  • Dr. Tiancheng Li, chool of Automation, Northwestern Polytechnical University, Xi'an, Key Laboratory of Information Fusion Technology, Ministry of Education, China


Program Committee

  • Prof. Shudong Sun, Northwestern Polytechnical University, China.
  • Dr. Yun Zhu, Shaanxi Normal University, China,
  • Prof. Weifeng Liu, Shaanxi University of Science and Technology, China
  • Prof. Shenghua Zhou, Xidian University, China
  • Dr. Kai Da, National University of Defence Technology, China
  • Prof. Wen Cao, Chang'an University, China
  • Dr. Jiande Fan, Shenzhen University, China
  • Dr. Tiancheng Li, chool of Automation, Northwestern Polytechnical University, China

Contact

Dr. Tiancheng Li
t.c.li@nwpu.edu.cn