Zhang, S;
Zhao, D;
Spurgeon, SK;
(2021)
Output feedback robust distributed model predictive control for parallel systems in process networks with competitive characteristics.
Control Engineering Practice
, 113
, Article 104842. 10.1016/j.conengprac.2021.104842.
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Abstract
The parallel structure is one of the basic system architectures found in process networks. This paper formulates control strategies for such parallel systems when the states are unmeasured. The competitive coupling and competitive constraints are addressed in the control design. A distributed buffer and pre-estimator are proposed to solve problems relating to coupling and timely communication whilst a distributed moving horizon estimator is employed to further improve the estimation accuracy in the presence of the constraints. An output feedback robust distributed model predictive control algorithm is then developed for such parallel systems. The Lyapunov method is used for the theoretical analysis which produces tractable linear matrix inequalities (LMI). Simulations and experimental results are provided to validate the effectiveness of the proposed approach.
| Type: | Article |
|---|---|
| Title: | Output feedback robust distributed model predictive control for parallel systems in process networks with competitive characteristics |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1016/j.conengprac.2021.104842 |
| Publisher version: | https://doi.org/10.1016/j.conengprac.2021.104842 |
| 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: | Parallel system, Robust distributed model predictive control, Estimation, Output feedback |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices UCL > Provost and Vice Provost Offices > UCL BEAMS 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 |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10128713 |
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