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Retrofit control: Localization of controller design and implementation
Tokyo Inst Technol, Meguro Ku, 2-12-1 Ookayama, Tokyo 1528552, Japan..
Tokyo Inst Technol, Meguro Ku, 2-12-1 Ookayama, Tokyo 1528552, Japan..
Tokyo Inst Technol, Meguro Ku, 2-12-1 Ookayama, Tokyo 1528552, Japan..
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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2018 (English)In: Automatica, ISSN 0005-1098, E-ISSN 1873-2836, Vol. 95, p. 336-346Article in journal (Refereed) Published
Abstract [en]

In this paper, we propose a retrofit control method for stable network systems. The proposed approach is a control method that, rather than an entire system model, requires a model of the subsystem of interest for controller design. To design the retrofit controller, we use a novel approach based on hierarchical state-space expansion that generates a higher-dimensional cascade realization of a given network system. The upstream dynamics of the cascade realization corresponds to an isolated model of the subsystem of interest, which is stabilized by a local controller. The downstream dynamics can be seen as a dynamical model representing the propagation of interference signals among subsystems, the stability of which is equivalent to that of the original system. This cascade structure enables a systematic analysis of both the stability and control performance of the resultant closed-loop system. The resultant retrofit controller is formed as a cascade interconnection of the local controller and an output rectifier that rectifies an output signal of the subsystem of interest so as to conform to an output signal of the isolated subsystem model while acquiring complementary signals neglected in the local controller design, such as interconnection signals from neighboring subsystems. Finally, the efficiency of the retrofit control method is demonstrated through numerical examples of power systems control and vehicle platoon control. 

Place, publisher, year, edition, pages
PERGAMON-ELSEVIER SCIENCE LTD , 2018. Vol. 95, p. 336-346
Keywords [en]
Hierarchical state-space expansion, Decentralized control, Model reduction, Distributed design
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:kth:diva-234162DOI: 10.1016/j.automatica.2018.05.033ISI: 000441853900036Scopus ID: 2-s2.0-85048106987OAI: oai:DiVA.org:kth-234162DiVA, id: diva2:1257280
Conference
55th IEEE Conference on Decision and Control (CDC), DEC 12-14, 2016, Las Vegas, NV
Note

QC 20181019

Available from: 2018-10-19 Created: 2018-10-19 Last updated: 2022-06-26Bibliographically approved

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Sandberg, HenrikJohansson, Karl H.

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