Stochastic analysis and stabilization of remote control systems

  • Authors:

  • Long Sheng;Ya-Jun Pan

  • Affiliations:

  • Department of Mechanical Engineering, Dalhousie University, Halifax, NS, Canada;Department of Mechanical Engineering, Dalhousie University

  • Venue:
  • ACC'09 Proceedings of the 2009 conference on American Control Conference
  • Year:
  • 2009

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Abstract

This paper mainly investigated a sampled-data control approach to deal with the stabilization problem of Networked Control Systems (NCSs) with packet losses and bounded time varying delays. A new Lyapunov-Krasovskii functional candidate is constructed to analyze the stability of the overall system with bounded random packet losses and time varying delays. As a result, corresponding stabilizing sampled-data controller is designed based on the stability conditions. A real-time network measurement system has been developed based on MATLAB applications. Instrument Control toolbox was used to implement communications between two computers with MATLAB applications via the internet. Experiments were done to demonstrate the real network properties. A real-time networked control system has been constructed to test the stabilizing ability of the controller design in a real network environment. Experimental results illustrate the effectiveness of the proposed approach, a good combination of the theory and the real applications.