Abstract
This letter presents robustness bounds (RBs) for receding horizon controls (RHCs) of uncertain systems. The proposed RBs are obtained easily by solving convex problems represented by linear matrix inequalities (LMIs). We show, by numerical examples, that the RHCs can guarantee robust stabilization for a larger class of uncertain systems than conventional linear quadratic regulators (LQRs).
| Original language | English |
|---|---|
| Pages (from-to) | 1122-1125 |
| Number of pages | 4 |
| Journal | IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences |
| Volume | E89-A |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - 2006 Apr |
| Externally published | Yes |
Keywords
- Linear matrix inequality (LMI)
- Receding horizon control (RHC)
- Robustness bound (RB)
- Uncertain systems
ASJC Scopus subject areas
- Signal Processing
- Computer Graphics and Computer-Aided Design
- Electrical and Electronic Engineering
- Applied Mathematics