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Special issue

Recent Advances on Estimation and Filtering in Networked Dynamic Systems

Networked dynamic systems have been extensively investigated in academic research and engineering applications in the past two decades. Different from traditional systems, networked dynamic systems are complex systems involving network environments and/or large-scale systems consisting of many individual subsystems which are interconnected by networks. 

Although significant progress has been achieved for estimation and filtering of traditional systems, many critical issues on estimation and filtering in networked dynamic systems with various constraints still warrant further investigation. These issues include modeling of systems with unreliable and time-sensitive interaction networks involving time-delays, jitter, or packet losses; data collection and secure transmission for remote manipulation over networks; hybrid dynamics and nonlinearities in system models; sampling scheme design involving quantization and event-triggering mechanisms; decentralized/distributed filtering with heterogeneous subsystem dynamics; and robustness to uncertainties and internal/external disturbances. This special issue aims to present some recent advances in theory and applications of estimation and filtering for networked dynamic systems with the above mentioned various constraints. Both theoretical and application results are sought for.

Potential topics include, but are not limited to:

  • Stability and Estimation in networked systems with time-delays, disturbances, and uncertainties
  • Robust filtering approaches with guaranteed performances
  • Estimation in networked systems with hybrid and/or nonlinear dynamics
  • Distributed filtering for sensor networks with channel fading and/or packet losses
  • Estimation with sensor saturations and failures
  • Coordinated and/or consensus-based estimation over networks
  • Information security in sensor networks
  • Filter design with channel quantization and limited bandwidth
  • Decentralized/distributed computation algorithms over sensor networks
  • Randomized, gossip and message passing algorithms
  • Decentralized/distributed signal processing over networks
  • Distributed and cooperative optimization of networked systems
  • Robust estimation under malicious attacks
  • H-infinity estimation with stochastic parameters through sensor networks
  • Filter design with event-triggered mechanisms
  • Fault detection approaches for sensor networks
  • Capacity and performance analysis for estimation and filtering algorithms
  • Applications of estimation and filtering in sensor networks, multi-robot systems, smart grids, etc.


Deadline for submissions: Closed

 

Lead guest editor:

Jianbin Qiu, Institute for Automatic Control and Complex Systems, University of Duisburg-Essen, Germany

Guest editors:

Yuan Fan, School of Electrical & Electronic Engineering, Nanyang Technological University, Singapore

Mohammed Chadli, Université de Picardie-Jules Verne, Amiens, France

Jan Østergaard, Aalborg University, Aalborg, Denmark

 

Submissions will also benefit from the usual benefits of open access publication:

  • Rapid publication: Online submission, electronic peer review and production make the process of publishing your article simple and efficient
  • High visibility and international readership in your field: Open access publication ensures high visibility and maximum exposure for your work - anyone with online access can read your article
  • No space constraints: Publishing online means unlimited space for figures, extensive data and video footage
  • Authors retain copyright, licensing the article under a Creative Commons license: articles can be freely redistributed and reused as long as the article is correctly attributed

If you would like to let your peers know about this open special issue, download this Call for Papers and share it with them.

For editorial enquiries please contact editorial@asp.eurasipjournals.com

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