Skip to main navigation Skip to search Skip to main content

A Parametric Method of Linear Functional Observers for Linear Time-varying Systems

  • Da Ke Gu*
  • , Long Wen Liu
  • , Guang Ren Duan
  • *Corresponding author for this work
  • Northeast Electric Power University

Research output: Contribution to journalArticlepeer-review

Abstract

This paper considers the design of a Luenberger observer to estimate the linear multiple states functional for linear time-varying (LTV) systems. Based on the solutions to a type of full actuated homogeneous generalized Sylvester matrix equations and the conditions for the existence of observers for LTV systems, general parametric solutions to Luenberger functional observers are established. With the proposed approach, the functional observers can be achieved at desired convergence rate of the observation error, and also without any particular transformation for LTV systems. Finally, a numerical example shows the feasibility and effectiveness of the proposed parametric design method for the functional observers in LTV systems.

Original languageEnglish
Pages (from-to)647-656
Number of pages10
JournalInternational Journal of Control, Automation and Systems
Volume17
Issue number3
DOIs
StatePublished - 1 Mar 2019

Keywords

  • Functional observers
  • parametric method
  • sylverster equation
  • time-varying systems

Fingerprint

Dive into the research topics of 'A Parametric Method of Linear Functional Observers for Linear Time-varying Systems'. Together they form a unique fingerprint.

Cite this