Zhang, Shuzhan;
Zhao, Dongya;
Spurgeon, Sarah K;
(2025)
Static Output Feedback based Distributed Robust Model Predictive Control for Parallel Systems in Process Networks.
ISA Transactions
10.1016/j.isatra.2025.07.048.
(In press).
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Text
1-s2.0-S0019057825003970-main.pdf - Accepted Version Access restricted to UCL open access staff until 1 August 2026. Download (3MB) |
Abstract
The parallel system is a fundamental system architecture frequently encountered in process networks. A distributed robust model predictive control strategy is formulated for parallel systems with unmeasured states, utilizing a static output feedback framework. Parallel system architectures typically incorporate coupling as well as constraints and these distinguishing features are directly addressed by the controller design approach. A non-convex control problem results which is first solved by linear matrix inequalities (LMIs). Then, the input to state stability (ISS) of the resulting system is demonstrated. The effectiveness of the proposed approach is verified by both numerical simulation and experimentation.
Type: | Article |
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Title: | Static Output Feedback based Distributed Robust Model Predictive Control for Parallel Systems in Process Networks |
DOI: | 10.1016/j.isatra.2025.07.048 |
Publisher version: | https://doi.org/10.1016/j.isatra.2025.07.048 |
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: | Distributed model predictive control, Parallel system, Static output feedback control |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng |
URI: | https://discovery.ucl.ac.uk/id/eprint/10212052 |
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