Robust H2 and H filtering for discrete-time uncertain Linear fractional transform systems

Research output: Contribution to journalArticleAcademicpeer-review

9 Citations (Scopus)

Abstract

This study is concerned with the problem of robust H2 and H filtering for uncertain discrete-time linear systems. Two types of time-invariant parametric uncertainty, namely polytopic and ellipsoidal, are considered and represented by a linear fractional transformation structure. Obtained auxiliary variables by a convex optimisation problem, play the role of decoupling the Lyapunov variables and the robust filter parameters, in order to cast the problem into a linear matrix inequality-based optimisation problem. The design conditions are derived based on the quadratic separation concept and employing appropriate parameterisations for the corresponding set of multipliers. The merit of the methods presented in this study lies in their less conservatism than the existing methods for the polytopic uncertain systems, as well as presenting a new convex optimisation procedure for the robust filtering for the ellipsoidal uncertain systems.

Original languageEnglish
Pages (from-to)882-892
Number of pages11
JournalIET Control Theory and Applications
Volume9
Issue number6
DOIs
Publication statusPublished - 13 Apr 2015
Externally publishedYes

Fingerprint Dive into the research topics of 'Robust H<sub>2</sub> and H<sub>∞</sub> filtering for discrete-time uncertain Linear fractional transform systems'. Together they form a unique fingerprint.

Cite this