Name
Abstract | ||
|---|---|---|
We propose an output feedback model predictive control (MPC) strategy for a class of uncertain systems with state delay and unknown disturbance. In order to handle the state delay, we formulate an augmented dynamic system that includes the delayed states, as well as the original system state, as the augmented state. Then, we utilize a dynamic output feedback control law, which is based on the current estimated state instead of the augmented state, for stabilizing the system. As a result, the order of the controller is much reduced. The benefits of utilizing the reduced order controller are the reduced computational burden and guaranteed recursive feasibility. We apply the proposed approach to a wind tunnel system for regulating the Mach number in the test section to the reference value. The simulation result verifies the effectiveness and practicality of the proposed approach. (C) 2020 Elsevier Inc. All rights reserved. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1016/j.ins.2020.08.115 | INFORMATION SCIENCES |
Keywords | DocType | Volume |
Uncertain system, State delay, Predictive control, Stability, Wind tunnel | Journal | 556 |
ISSN | Citations | PageRank |
0020-0255 | 0 | 0.34 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xin Zan | 1 | 0 | 0.34 |
| Zhenhua Yu | 2 | 3 | 1.26 |
| Baocang Ding | 3 | 533 | 39.13 |
| yuanli cai | 4 | 0 | 4.06 |
| Zhi Wu Li | 5 | 470 | 38.43 |