Xiao, H;
Zhao, D;
Gao, S;
Spurgeon, SK;
(2022)
Sliding mode predictive control: A survey.
Annual Reviews in Control
, 54
pp. 148-166.
10.1016/j.arcontrol.2022.07.003.
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Abstract
This paper reviews the development and application of sliding mode predictive control (SMPC) in a tutorial manner. Two core design paradigms are revealed in the combination of sliding mode control (SMC) and model predictive control (MPC). In the first case, MPC is used in the reaching phase to ensure a sliding mode is attained. In the second case, MPC is used to solve the existence problem and define the required performance in the sliding mode. The two approaches are discussed in detail from the perspectives of both theory and application. Finally, some future challenges and opportunities in the area of SMPC are summarized.
| Type: | Article |
|---|---|
| Title: | Sliding mode predictive control: A survey |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1016/j.arcontrol.2022.07.003 |
| Publisher version: | https://doi.org/10.1016/j.arcontrol.2022.07.003 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Sliding mode control, Model predictive control, Sliding mode predictive control, Optimal control, Control input constraint |
| UCL classification: | UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng UCL > Provost and Vice Provost Offices > UCL BEAMS UCL |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10155757 |
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