Name
Abstract | ||
|---|---|---|
An improved method for synthesising the constrained robust model predictive controller is proposed in this study. It constructs a continuum of terminal constraint sets off-line, and achieves robust stability with a variable control horizon on-line from the very beginning and a time-varying terminal constraint set, by solving the min-max optimisation problem, which can be formulated as a linear matrix inequality problem. This algorithm not only dramatically reduces the on-line computation burden, but also guarantees the control performance by reserving at least one free control move in the whole process. Simulation results for the three-tank system with uncertain dynamic behaviour on flux coefficients are given. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1080/00207721.2010.488760 | INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE |
Keywords | Field | DocType |
robust model predictive control, linear matrix inequality, terminal constraint sets, polytopic uncertain systems | Control theory,Mathematical optimization,Control theory,Horizon,Adaptive control,Robust control,Linear matrix inequality,Mathematics,Computation | Journal |
Volume | Issue | ISSN |
43 | 2 | 0020-7721 |
Citations | PageRank | References |
7 | 0.57 | 11 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiang-Jie Liu | 1 | 136 | 18.64 |
| Sumei Feng | 2 | 7 | 0.57 |
| Miaomiao Ma | 3 | 12 | 2.07 |