| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 714522 | IFAC Proceedings Volumes | 2013 | 6 Pages |
Abstract
The paper is devoted to development of control algorithms for nonlinear paramet-rically uncertain systems. Original system dynamics is approximated by a set of local NARX models combined by a special mixing rule. Algorithm for local models' parameters estimation and structure adjustment has been developed. Proposed approach allows straightforward designing of the combined feedforward/feedback controller.
Related Topics
Physical Sciences and Engineering
Engineering
Computational Mechanics
