Journal
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
Volume 61, Issue 2, Pages 303-318Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TAC.2015.2437525
Keywords
Closed loop systems; computational complexity; controllability; control design; decentralized control; linear feedback control systems; output feedback
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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.
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