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)
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ISSN:0018-9286, 1558-2523
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Abstract 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.
AbstractList 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.
Author Aguiar, A. Pedro
Kar, Soummya
Pequito, Sergio
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  surname: Pequito
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  givenname: A. Pedro
  surname: Aguiar
  fullname: Aguiar, A. Pedro
  organization: Lab. of Robot. & Syst. in Eng. & Sci., Inst. Super. Tecnico, Lisbon, Portugal
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Keywords decentralized control
controllability
control design
Closed loop systems
linear feedback control systems
output feedback
computational complexity
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Snippet This paper addresses problems on the structural design of large-scale control systems. An efficient and unified framework is proposed to select the minimum...
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SubjectTerms 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
Title A Framework for Structural Input/Output and Control Configuration Selection in Large-Scale Systems
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