eprintid: 10081044 rev_number: 17 eprint_status: archive userid: 608 dir: disk0/10/08/10/44 datestamp: 2019-09-06 10:04:19 lastmod: 2020-08-28 06:10:20 status_changed: 2019-09-06 10:04:19 type: article metadata_visibility: show creators_name: Zhang, S creators_name: Zhao, D creators_name: Spurgeon, SK title: Robust distributed model predictive control for systems of parallel structure within process networks ispublished: pub divisions: UCL divisions: A01 divisions: B04 divisions: C05 divisions: F46 keywords: Parallel system, Competitive coupling, Competitive constraint, Robust distributed model predictive control, Linear matrix inequality note: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. abstract: The parallel structure is one of the basic system architectures found in process networks. In order to achieve robust control of complex process networks, it is necessary to formulate control strategies that specifically accommodate the characteristics of such parallel systems. In this paper, the competitive coupling and competitive constraints in parallel systems are initially defined. A novel robust distributed model predictive control algorithm is then developed for such parallel systems which deals explicitly with competitive couplings, competitive constraints and uncertainties. The Lyapunov Method is used for the theoretical analysis which produces tractable linear matrix inequalities (LMI). Two simulation studies and an experimental trial are provided to validate the effectiveness of the proposed approach. These consider control of 40 user and 100 user gas boiler heating systems as well as control of two continuous stirred tank reactors (CSTRs) which are connected in parallel. date: 2019 date_type: published official_url: https://doi.org/10.1016/j.jprocont.2019.06.005 oa_status: green full_text_type: other language: eng primo: open primo_central: open_green verified: verified_manual elements_id: 1686141 doi: 10.1016/j.jprocont.2019.06.005 lyricists_name: Spurgeon, Sarah lyricists_id: SSPUR40 actors_name: Spurgeon, Sarah actors_id: SSPUR40 actors_role: owner full_text_status: public publication: Journal of Process Control volume: 82 pagerange: 70-90 issn: 0959-1524 citation: Zhang, S; Zhao, D; Spurgeon, SK; (2019) Robust distributed model predictive control for systems of parallel structure within process networks. Journal of Process Control , 82 pp. 70-90. 10.1016/j.jprocont.2019.06.005 <https://doi.org/10.1016/j.jprocont.2019.06.005>. Green open access document_url: https://discovery.ucl.ac.uk/id/eprint/10081044/1/RDMPCofPS_R2.pdf