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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Published in:	IEEE transactions on automatic control Vol. 61; no. 2; pp. 303 - 318
Main Authors:	Pequito, Sergio, Kar, Soummya, Aguiar, A. Pedro
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.02.2016 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	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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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
Author_xml	– sequence: 1 givenname: Sergio surname: Pequito fullname: Pequito, Sergio email: sergio.pequito@gmail.com organization: Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA, USA – sequence: 2 givenname: Soummya surname: Kar fullname: Kar, Soummya organization: Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA, USA – sequence: 3 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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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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