DocumentCode
630701
Title
A computational method for boundary estimation and control via the sequentially semi separable approach
Author
Rice, J.K. ; van Wingerden, Jan-Willem
Author_Institution
Delft Center for Syst. & Control, Delft Univ., Delft, Netherlands
fYear
2013
fDate
17-19 June 2013
Firstpage
2600
Lastpage
2605
Abstract
Recent work has shown that many types of distributed system with distributed actuators and sensors have state space realizations with “Sequentially Semi Separable” (SSS) structure. The special properties of the SSS arithmetic allow the analysis and synthesis of controllers with similarly distributed architecture, with arbitrarily small loss of optimality, in linear computational complexity (in the number of subsystems) for systems interconnected on a line. However, in spite of the current popularity in research on distributed actuators and sensors, and consensus algorithms, many estimation and control problems for distributed systems in practice are limited by the high cost of sensors and actuators, and hence are limited to boundary sensing, boundary actuation, or both. In this paper, we show how to fit boundary actuation and sensing problems into the SSS structure, allowing the use of the aforementioned powerful and fast analysis and synthesis methods. We then demonstrate on a few examples the results of this approach, and discuss characteristics of other examples on which it will work well.
Keywords
actuators; computational complexity; control system analysis; control system synthesis; distributed sensors; interconnected systems; state-space methods; SSS structure; boundary actuation; boundary control; boundary estimation; boundary sensing; computational method; consensus algorithms; controller analysis; controller synthesis; distributed actuators; distributed architecture; distributed sensors; distributed system; interconnected systems; linear computational complexity; optimality loss; sequentially semiseparable structure; state space realizations; Actuators; Computational complexity; Decentralized control; Equations; MATLAB; Mathematical model; Sensors;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference (ACC), 2013
Conference_Location
Washington, DC
ISSN
0743-1619
Print_ISBN
978-1-4799-0177-7
Type
conf
DOI
10.1109/ACC.2013.6580226
Filename
6580226
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