Liu, Zidong;
Zhao, Dongya;
Spurgeon, Sarah K;
(2025)
Distributed Robust Model Predictive Control for Partial Output Consensus of Multi-rate Chain Interconnected Processes.
IEEE Transactions on Automation Science and Engineering
10.1109/tase.2025.3636460.
(In press).
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Abstract
In this paper, partial output consensus (POC) based on distributed robust model predictive control (DRMPC) is investigated for multi-rate chain interconnected processes. To accommodate potential differences in sensor sampling characteristics, ‘Consensus’ and ‘Nonconsensus’ outputs (i.e. those outputs with and without a consensus target) have different sampling periods. A fusion estimation strategy (FES) is initially designed, which can utilize multi-rate measured outputs to generate state estimates in real time. Using the results of this FES, a DRMPC is then proposed that can simultaneously stabilize all the outputs. The POC cost function and consensus constraint can ensure that all subsystems meet POC requirements. The effectiveness of the proposed approach is guaranteed theoretically and further demonstrated by simulations and experimental testing.
| Type: | Article |
|---|---|
| Title: | Distributed Robust Model Predictive Control for Partial Output Consensus of Multi-rate Chain Interconnected Processes |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/tase.2025.3636460 |
| Publisher version: | https://doi.org/10.1109/tase.2025.3636460 |
| 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. |
| 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/10217850 |
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