Robust variance control for systems with finite-signal-to-noise uncertainty Academic Article uri icon


  • This paper develops control analysis and synthesis techniques for systems with finite signal-to-noise-ratios (called the finite-signal-to-noise (FSN) models). The system is characterized by an easily computed measure . The control synthesis finds output feedback control laws to tolerate finite signal-to-noise ratio uncertainty on an interval. An algorithm to conduct this synthesis is proposed, to achieve locally optimal performance for the closed-loop system.

published proceedings

  • Automatica

author list (cited authors)

  • Lu, J., & Skelton, R. E.

citation count

  • 24

complete list of authors

  • Lu, Jianbo||Skelton, Robert E

publication date

  • April 2000