Robust mixed generalized H2/H∞ filtering of 2-D nonlinear fractional transformation systems

Authors:
Nguyen Hoang;Hoang Tuan;Truong Nguyen;S. Hosoe
Affiliations:
Dept. of Electron.-Mech. Eng., Nagoya Univ., Japan;-;-;-
Venue:
IEEE Transactions on Signal Processing
Year:
2005

Citing 0
Cited 5

Brief paper: H∞ filtering for 2D Markovian jump systems

Automatica (Journal of IFAC)
Nonlinear Bayesian filtering using the unscented linear fractional transformation model

IEEE Transactions on Signal Processing
Robust filtering for 2-D discrete-time linear systems with convex-bounded parameter uncertainty

Automatica (Journal of IFAC)
Generalized H2 fault detection for two-dimensional Markovian jump systems

Automatica (Journal of IFAC)
Robust finite frequency H∞ filtering for uncertain 2-D systems: The FM model case

Automatica (Journal of IFAC)

Quantified Score

Hi-index	35.70

Visualization

Abstract

This study considers robust filtering problems for uncertain two dimensional (2-D) discrete systems in nonlinear fractional transformation (NFT) representations. Like one-dimensional (1-D) systems, the NFT in this paper serves to complement the linear fractional transformation (LFT). Linear matrix inequality (LMI) formulations are given to analyze as well as synthesize robust filters. Numerical examples show the advantage of the NFT over the LFT in terms of not only computational savings but also substantial performance gains and verify the efficiency of the proposed techniques.