Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
392770 | Information Sciences | 2016 | 14 Pages |
Abstract
The l∞-gain approach has been an essential tool in one-dimensional system theory. However, limited results have been presented in the literature for the two-dimensional (2-D) l∞-gain approach. This paper investigates the l∞-gain performance for 2-D systems in the Roesser model with persistent bounded disturbance input and saturation nonlinearity. A linear matrix inequality (LMI)-based condition is established to reduce the effect of persistent bounded disturbance input on 2-D systems within a given disturbance attenuation level based on the discrete Jensen inequality, lower bounds lemma, and diagonally dominant matrices. We apply the obtained results to the l∞-gain performance analysis for 2-D digital filters with saturation arithmetic.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Choon Ki Ahn, Peng Shi, Ligang Wu,