A Framework for Structural Input/Output and Control Configuration Selection in Large-Scale Systems

This paper addresses problems on the structural design of large-scale control systems. An efficient and unified framework is proposed to select the minimum number of manipulated/measured variables to achieve structural controllability/observability of the system, and to select the minimum number of...

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Veröffentlicht in:IEEE transactions on automatic control Jg. 61; H. 2; S. 303 - 318
Hauptverfasser: Pequito, Sergio, Kar, Soummya, Aguiar, A. Pedro
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York IEEE 01.02.2016
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Bipartite graph
Closed loop systems
Complexity theory
computational complexity
control design
Controllability
decentralized control
linear feedback control systems
Linear systems
Observability
output feedback
Polynomials
Sensors
decentralized control
controllability
control design
Closed loop systems
linear feedback control systems
output feedback
computational complexity
ISSN:0018-9286, 1558-2523
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Zusammenfassung:This paper addresses problems on the structural design of large-scale control systems. An efficient and unified framework is proposed to select the minimum number of manipulated/measured variables to achieve structural controllability/observability of the system, and to select the minimum number of feedback interconnections between measured and manipulated variables such that the closed-loop system has no structural fixed modes. Global solutions are computed using polynomial complexity algorithms in the number of the state variables of the system. Finally, graph-theoretic characterizations are proposed, which allow a characterization of all possible solutions.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:0018-9286
1558-2523
DOI:10.1109/TAC.2015.2437525