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Distributed Control and Estimation of Networked Agent Systems

Call for Papers

Most of the real-world large-scale systems can be modeled as networked agent systems, where examples include biological systems, multivehicle systems, and distributed sensor systems. Recently, distributed control and estimation of networked agent systems have found extensive applications in various domains including distributed computing, formation control, spacecraft control, distributed sensor networks, and smart grids. Since each individual agent in the networked agent systems has limited computational and sensing abilities, distributed control and estimation design have more significant potential advantages than centralized ones in the context of networked agent systems. Furthermore, it has been shown that the abundance of embedded computational and sensing resources in networked agent systems enables enhanced operational effectiveness through cooperative teamwork in real applications.

The main focus of this special issue will be on new and existing distributed control and estimation approaches in networked agent systems, which will certainly become an international forum for researchers in all branches of applied mathematics as well as control engineering to present, share, and summarize the most recent developments and ideas on related topics in distributed control and estimation of networked agent systems. Potential topics include, but are not limited to:

  • Consensus, flocking, and swarming control of networked agent systems
  • Synchronization of complex networks
  • Modeling, identification, and optimization of networked agent systems
  • Distributed filter and estimation of large-scale sensor networks
  • Event-triggered-based coordination
  • Distributed diagnosis and fault-tolerant control
  • Distributed adaptive control
  • Collective control with uncertain disturbances
  • Coordination with communication constraints
  • Distributed control and design in smart grids
  • Distributed prediction control in networked agent systems
  • Distributed model predictive control

Before submission authors should carefully read over the journal's Author Guidelines, which are located at http://www.hindawi.com/journals/mpe/guidelines/. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at http://mts.hindawi.com/submit/journals/mpe/dnas/ according to the following timetable:

Manuscript DueFriday, 5 April 2013
First Round of ReviewsFriday, 28 June 2013
Publication DateFriday, 23 August 2013

Lead Guest Editor

  • Wenwu Yu, Department of Mathematics, Southeast University, Nanjing, Jiangsu 210096, China

Guest Editors

  • Ming Cao, Faculty of Mathematics and Natural Sciences, ITM, University of Groningen, 9700 AB Groningen, The Netherlands
  • Guanrong Chen, Department of Electronic Engineering, City University of Hong Kong, Hong Kong
  • Guanghui Wen, School of Engineering and Information Technology, University of New South Wales, Canberra, ACT 2600, Australia
  • Xinghuo Yu, School of Electrical and Computer Engineering, RMIT University, Melbourne, VIC 3001, Australia