Data-based controllability analysis for generalised linear discrete-time system. Issue 10 (27th July 2017)

• Record Type: Journal Article
• Authors: Wang, Fengjun; Zhang, Qingling; Liu, Wanquan
• Is Part Of: International journal of systems science. Volume 48:Issue 10(2017)
• Page Start: 2104
• Page End: 2110
• Publication Date: 2017-07-27
• Subjects: Data-based method -- linear discrete-time system -- generalised system -- unknown parameters -- controllability analysis; System analysis -- Periodicals; 003.3
• DOI: 10.1080/00207721.2017.1315981
• Languages: English
• ISSNs: 0020-7721

Abstract

ABSTRACT: In this paper, we aim to propose a data-based method to testify whether the system is a normal linear system or a generalised linear system and then analyse its controllability via the measured state data and the control input satisfying certain condition. For this purpose, we first describe a linear discrete-time system in a general form and derive a necessary and sufficient condition for the equivalent condition of complete controllability with a normal linear discrete time system. Second, we check whether the system is normal or singular, and then construct the controllability matrices only based on the input and measured state data. Third, the controllability of the corresponding system is investigated thoroughly based on available data without identifying system parameters. Finally, a numerical example and a stock price example are used to show the effectiveness and feasibility of the proposed data-based method.