Abstract
This paper deals with the robust l∞-l∞ filtering problem for discrete-time systems with multiple delays in the state and uncertain parameters residing in a polytope. We focus on the design of robust full order and reduced order filters, which can guarantee a prescribed energy-to-peak disturbance attenuation level. Two approaches are presented to solve the filtering problem: delay-independent (suitable for systems with unknown delay bounds) and delay-dependent (suitable for systems with known delay bounds). Sufficient conditions for the existence of admissible filters are formulated in terms of linear matrix inequalities, upon which both the delay-independent and dependent filtering problems are cast into convex optimization problems. These two approaches also incorporate a new parameter-dependent stability result into the filter designs. This greatly reduces the conservatism of the quadratic framework.
| Original language | English |
|---|---|
| Pages (from-to) | 245-257 |
| Number of pages | 13 |
| Journal | Intelligent Automation and Soft Computing |
| Volume | 11 |
| Issue number | 4 |
| DOIs | |
| State | Published - Jan 2005 |
Keywords
- Discrete-time systems
- Energy-to-peak performance
- Linear matrix inequality
- Pazameter-dependent stability
- Robust filtering
- Time-delayed systems
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