Abstract
This paper examines the problem of the local overflow stability and disturbance attenuation performance analysis of two-dimensional (2-D) Roesser digital filters in the presence of external interferences. In particular, by utilizing the local properties of saturation nonlinearity and Lyapunov stability theory, a novel linear matrix inequality (LMI)-based condition is proposed that not only ensures the nonexistence of overflow oscillations, but also yields the H∞ interference rejection performance of 2-D digital filters under the overflow constraint. It is worth mentioning here that in contrast to the traditional approaches based on modeling the saturation with a global sector-bound condition, the proposed approach provides a less conservative bound for the attenuation of disturbances and renders the idea of minimum word length for realizing the 2-D (Roesser) filter to eliminate overflow oscillations and attain the specified H∞ interference attenuation performance index. Finally, a numerical simulation example is also provided, which demonstrates the superiority of the proposed method over the existing techniques.
Original language | English |
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Pages (from-to) | 1331-1350 |
Number of pages | 20 |
Journal | Multidimensional Systems and Signal Processing |
Volume | 29 |
Issue number | 4 |
DOIs | |
Publication status | Published - 2018 Oct 1 |
Bibliographical note
Publisher Copyright:© 2017, Springer Science+Business Media, LLC.
Keywords
- 2-D filter
- Digital filter
- External interference
- Finite word length
- Local stability
- Overflow oscillation elimination
ASJC Scopus subject areas
- Software
- Signal Processing
- Information Systems
- Hardware and Architecture
- Computer Science Applications
- Artificial Intelligence
- Applied Mathematics