Brief Limiting performance of optimal linear discrete filters

  • Authors:
  • Lamia Ben Jemaa;Edward Joseph Davison

  • Affiliations:
  • Department of Electrical and Computer Engineering, Systems Control Group, University of Toronto, Toronto, Ont., Canada M5S 1A4;Department of Electrical and Computer Engineering, Systems Control Group, University of Toronto, Toronto, Ont., Canada M5S 1A4

  • Venue:
  • Automatica (Journal of IFAC)
  • Year:
  • 2003

Quantified Score

Hi-index 22.14

Visualization

Abstract

The limiting variance of the estimation error is obtained for the optimal H"2 filter for discrete time systems when the intensity of the measurement noise tends to zero. In particular, an explicit expression is obtained for the lowest achievable mean-square error when the measurement noise is slowly varying and has intensity which tends to zero. This limitation can be characterized completely by the system order, the dimension of the process noise, the number of the system's transmission zeros, and the location of the system's unstable transmission zeros.