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Hierarchical Model Decomposition for Distributed Design of Glocal Controllers
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Decision and Control Systems (Automatic Control).ORCID iD: 0000-0002-8598-0348
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Decision and Control Systems (Automatic Control).ORCID iD: 0000-0003-1835-2963
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2019 (English)In: Proceedings of the IEEE Conference on Decision and Control, Institute of Electrical and Electronics Engineers Inc. , 2019, p. 3540-3545Conference paper, Published paper (Refereed)
Abstract [en]

Since modern network systems are managed by multiple operators, practical distributed controller design is required to be independently performed in a distributed manner. The independent design of distributed controllers, referred to as distributed design, enables the synthesis process to be scalable. Nevertheless, distributed design methods have not yet been fully developed because of its difficulty. As a novel scheme for control of network systems, this paper presents a distributed design method of glocal (global/local) controllers. In the glocal structure, a global controller is introduced into the controller to be designed in addition to local decentralized controllers. The key idea to realize distributed design is to represent the original network system as a hierarchical cascaded system composed of reduced-order models each of which stands for the dynamics of global and local behaviors, here referred to as hierarchical model decomposition. Distributed design is achieved by designing controllers for the reduced-order models owing to the cascade structure. A numerical example demonstrates the effectiveness of the proposed glocal control. 

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc. , 2019. p. 3540-3545
Keywords [en]
Decentralized control, Design, Hierarchical systems, Cascade structures, Control of networks, Decentralized controller, Distributed controller, Distributed design, Global controllers, Independent design, Reduced order models, Controllers
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:kth:diva-274095DOI: 10.1109/CDC40024.2019.9029589ISI: 000560779003040Scopus ID: 2-s2.0-85082467686OAI: oai:DiVA.org:kth-274095DiVA, id: diva2:1451476
Conference
58th IEEE Conference on Decision and Control, CDC 2019, 11 December 2019 through 13 December 2019
Note

QC 20200702

Part of ISBN 9781728113982

Available from: 2020-07-02 Created: 2020-07-02 Last updated: 2025-01-31Bibliographically approved

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fulltext(583 kB)10 downloads
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Sasahara, HampeiSandberg, HenrikJohansson, Karl H.

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