TY - GEN
T1 - Data-based characteristics analysis for linear discrete-time systems
AU - Wang, Zhuo
AU - Liu, Derong
N1 - Publisher Copyright:
© IFAC.
PY - 2014
Y1 - 2014
N2 - In this paper, we develop data-based methods to analyze the characteristics of linear discrete-time systems, which have unknown parameter matrices. These characteristics include output controllability, asymptotic stability of the equilibrium point, bounded-input bounded-state stability, and bounded-input bounded-output stability. Our methods only use measured state and output data to verify the system properties. They are direct analysis methods and do not need to identify the unknown parameter matrices. These data-based methods not only can avoid identification errors, but also have lower computational complexity than traditional model-based analysis approaches.
AB - In this paper, we develop data-based methods to analyze the characteristics of linear discrete-time systems, which have unknown parameter matrices. These characteristics include output controllability, asymptotic stability of the equilibrium point, bounded-input bounded-state stability, and bounded-input bounded-output stability. Our methods only use measured state and output data to verify the system properties. They are direct analysis methods and do not need to identify the unknown parameter matrices. These data-based methods not only can avoid identification errors, but also have lower computational complexity than traditional model-based analysis approaches.
KW - Data-based analysis
KW - Linear discrete-time systems
KW - Measured state and output data
KW - System characteristics
KW - Unknown parameter matrices
UR - https://www.scopus.com/pages/publications/84929774459
U2 - 10.3182/20140824-6-za-1003.00248
DO - 10.3182/20140824-6-za-1003.00248
M3 - 会议稿件
AN - SCOPUS:84929774459
T3 - IFAC Proceedings Volumes (IFAC-PapersOnline)
SP - 4993
EP - 4998
BT - 19th IFAC World Congress IFAC 2014, Proceedings
A2 - Boje, Edward
A2 - Xia, Xiaohua
PB - IFAC Secretariat
T2 - 19th IFAC World Congress on International Federation of Automatic Control, IFAC 2014
Y2 - 24 August 2014 through 29 August 2014
ER -