| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 724502 | IFAC Proceedings Volumes | 2006 | 6 Pages |
Abstract
A methodology is proposed for the analysis and design of a robust gain-scheduled Model predictive Controllers (MPC) for nonlinear chemical processes. The stability and performance tests can be formulated as a finite set of linear matrix inequalities (LMI). A simulation study of a 2x2 system indicates that this approach can provide useful robust controllers, which guarantee closed-loop robust stability and performance.
Related Topics
Physical Sciences and Engineering
Engineering
Computational Mechanics
