TY - JOUR
T1 - Analyzing the controllability and observability of discrete-time delayed lti systems with data-based methods
AU - Wang, Zhuo
AU - Wang, Chenghong
N1 - Publisher Copyright:
© The 2020 International Conference on Artificial Life and Robotics (ICAROB2020).
PY - 2020
Y1 - 2020
N2 - We present some data-based methods to analyze the state/output controllability and state observability of discrete-time delayed linear time-invariant (LTI) systems, whose parameter matrices are all assumed unknown. They first augment the system into a high dimensional LTI model, then employ the measured state/output data to directly construct the controllability and observability matrices of this high dimensional model, whose ranks are the criteria of corresponding characteristics of the original system. These data-based methods have low computational load and calculation complexity.
AB - We present some data-based methods to analyze the state/output controllability and state observability of discrete-time delayed linear time-invariant (LTI) systems, whose parameter matrices are all assumed unknown. They first augment the system into a high dimensional LTI model, then employ the measured state/output data to directly construct the controllability and observability matrices of this high dimensional model, whose ranks are the criteria of corresponding characteristics of the original system. These data-based methods have low computational load and calculation complexity.
KW - Controllability and Observability
KW - Data-Based Analyzing Methods
KW - Discrete-Time Delayed LTI Systems
KW - High Dimensional LTI Model
KW - Measured State/Output Data
UR - https://www.scopus.com/pages/publications/85108846002
U2 - 10.5954/ICAROB.2020.OS3-2
DO - 10.5954/ICAROB.2020.OS3-2
M3 - 会议文章
AN - SCOPUS:85108846002
SN - 2435-9157
VL - 2020
SP - 301
EP - 308
JO - Proceedings of International Conference on Artificial Life and Robotics
JF - Proceedings of International Conference on Artificial Life and Robotics
T2 - 25th International Conference on Artificial Life and Robotics, ICAROB 2020
Y2 - 13 January 2020 through 16 January 2020
ER -