Zhang, S;
Zhao, D;
Spurgeon, SK;
(2022)
Distributed static output feedback robust model predictive control for process networks.
Control Engineering Practice
, 126
, Article 105239. 10.1016/j.conengprac.2022.105239.
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Abstract
This paper formulates a distributed static output feedback robust model predictive control for process networks to solve problems relating to unmeasured states and interconnected couplings. The initial conditions on the couplings are predicted by previous information and the boundedness of the predicted error is proved. In light of the static output feedback design conditions, the distributed static output feedback robust model predictive control is designed by transforming an infinite time optimization problem into a tractably solved one. The solvability of the optimization problem and the stability are proved to underpin the proposed approach. Simulations and an experimental case study are provided to validate the effectiveness of the proposed approach.
| Type: | Article |
|---|---|
| Title: | Distributed static output feedback robust model predictive control for process networks |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1016/j.conengprac.2022.105239 |
| Publisher version: | https://doi.org/10.1016/j.conengprac.2022.105239 |
| 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: | Science & Technology, Technology, Automation & Control Systems, Engineering, Electrical & Electronic, Engineering, Robust model predictive control, Distributed static output feedback, Process networks, CONTROL DESIGN, SYSTEMS, MPC, OPERATION |
| 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/10152519 |
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