Show simple item record

dc.contributor.authorWang, F.
dc.contributor.authorZhang, Q.
dc.contributor.authorLiu, Wan-Quan
dc.identifier.citationWang, F. and Zhang, Q. and Liu, W. 2017. Data-based controllability analysis for generalised linear discrete-time system. The International Journal of Systems Sciences. 48 (10): pp. 2104-2110.

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.

dc.publisherTaylor and Francis
dc.titleData-based controllability analysis for generalised linear discrete-time system
dc.typeJournal Article
dcterms.source.titleThe International Journal of Systems Sciences
curtin.departmentSchool of Electrical Engineering, Computing and Mathematical Science (EECMS)
curtin.accessStatusFulltext not available

Files in this item


There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record