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

• Type: Article in International Scientific Journal
• Date: 2016

Authors

Pequito, S (Author) Other; Kar, S (Author) Other; Aguiar, AP (Author) FEUP

Journal

Title: IEEE Transactions on Automatic Control

Vol. 61

Pages: 303-318

ISSN: 0018-9286

Publisher: IEEE

Indexing

ISI Web of Knowledge - 97 Citations

Scopus - 111 Citations

Other information

Authenticus ID: P-00K-7VH

DOI: 10.1109/tac.2015.2437525

Abstract (EN): 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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 16