| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 10403590 | IFAC Proceedings Volumes | 2005 | 6 Pages |
Abstract
In this paper, the design of an output predictor in a system with random scarce sampling is addressed. A model based predictor that takes into account the past measured outputs is used, and a Lyapunov function of the estimation error is used for design purposes. The Lyapunov design problem becomes a feasibility problem over a set of linear matrix inequalities applying the Schur complement formula. Three different design approaches have been developed. Some examples show the performances of each approach.
Related Topics
Physical Sciences and Engineering
Engineering
Computational Mechanics
Authors
I. Peñarrocha, A. Sala, R. Sanchis, P. Albertos,