Identification of linear dynamic systems operating in a networked environment

  • Authors:
  • Jiandong Wang;Wei Xing Zheng;Tongwen Chen

  • Affiliations:
  • Department of Industrial Engineering & Management, College of Engineering, Peking University, Beijing 100871, China;School of Computing & Mathematics, University of Western Sydney, Penrith South DC NSW 1797, Australia;Department of Electrical & Computer Engineering, University of Alberta, Edmonton, Alberta, Canada T6G 2V4

  • Venue:
  • Automatica (Journal of IFAC)
  • Year:
  • 2009

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Abstract

This paper studies a networked system identification problem, which aims at identifying mathematical models required in networked control/estimation/filtering systems. Specifically, we consider the off-line identification of open-loop stable linear time-invariant processes working in a networked environment. In the networked environment, how the actuators (D/A conversion) operate plays a key role in the complexity of the related identification problems. In particular, it is reasonable to consider the configuration of event-driven actuators subject to random network-induced delays and packet dropouts; as a result, the networked identification problem is formulated as the one to identify continuous-time linear time-invariant models, based on the general non-uniformly non-synchronized sampled data. A modified version of the simplified refined instrumental variable method is proposed to solve this problem, and is validated in a networked identification experiment based on the Matlab/Simulink simulator TrueTime.