Stabilization of Markovian jump linear systems with limited information: a convex approach

  • Authors:
  • Chun Zhang;Kan Chen;Geir E. Dullerud

  • Affiliations:
  • Cisco Systems, Inc, Research Triangle Park, NC;Department of Aerospace Engineering, University of Illinois, Urbana, IL;Department of Mechanical Science and Engineering, University of Illinois, Urbana, IL

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

Quantified Score

Hi-index 0.00

Visualization

Abstract

In this paper, we study the second order stabilization problem of Markovian jump linear systems (MJLSs) with logarithmically quantized state feedbacks. We give explicit constructions of the stabilizing logarithmic quantizer and controller. We also present a semi-convex way to determine the coarsest stabilizing quantization density. In addition, we show that the problem of stabilizing a linear time-invariant (LTI) system over a lossy channel can be viewed as a special example of the framework developed here. A contribution of the work is a simultaneous treatment of finite bandwidth constraints (logarithmic quantization) and latency in feedback channels.