Abstract
This paper discusses the problem of H ∞ model reduction for linear discrete time 2-D singular Roesser models (2-D SRM). A condition for bounded realness is established for 2-D SRM in terms of linear matrix inequalities (LMIs). Based on this, a sufficient condition for the solvability of the H ∞ model reduction problem is obtained via a group of LMIs and a set of coupling non-convex rank constraints. An explicit parameterization of the desired reduced-order models is presented. Particularly, a simple LMI condition without rank constraints is proposed for the zeroth-order H ∞ approximation problem. Finally, a numerical example is given to illustrate the applicability of the proposed approach.
| Original language | English |
|---|---|
| Pages (from-to) | 285-304 |
| Number of pages | 20 |
| Journal | Multidimensional Systems and Signal Processing |
| Volume | 16 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - Jul 2005 |
| Externally published | Yes |
Keywords
- 2-D singular systems
- Bounded realness
- H model reduction
- Linear matrix inequality
- Roesser models
ASJC Scopus subject areas
- Software
- Signal Processing
- Information Systems
- Hardware and Architecture
- Computer Science Applications
- Artificial Intelligence
- Applied Mathematics