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

作者：Pequito Sergio^*; Kar Soummya; Aguiar A Pedro

来源：IEEE Transactions on Automatic Control, 2016, 61(2): 303-318.

DOI：10.1109/TAC.2015.2437525

• Closed loop systems
• computational complexity
• controllability
• control design
• decentralized control
• linear feedback control systems
• output feedback

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.

• 出版日期2016-2