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
Link To Document :
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