TY - GEN
T1 - Characteristic modelling approach based sliding-mode control
AU - Xu, Long
AU - Chen, Lei
AU - Wen, Guanghui
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/2
Y1 - 2017/7/2
N2 - Characteristic modelling is a simplified yet efficient engineering-oriented modelling approach. A high-order nonlinear (or linear) system can be approximated by a low-order discrete time-varying system. In this paper, a new kind of sliding-mode control is proposed based on the characteristic modelling approach. It has been shown that characteristic modelling approach, as a data-based technology, is suitable for control design. With the proposed control strategy implemented, the convergence speed and the robustness of the system are improved. The effectiveness and efficiency of the proposed methods are verified via numeral simulation studies.
AB - Characteristic modelling is a simplified yet efficient engineering-oriented modelling approach. A high-order nonlinear (or linear) system can be approximated by a low-order discrete time-varying system. In this paper, a new kind of sliding-mode control is proposed based on the characteristic modelling approach. It has been shown that characteristic modelling approach, as a data-based technology, is suitable for control design. With the proposed control strategy implemented, the convergence speed and the robustness of the system are improved. The effectiveness and efficiency of the proposed methods are verified via numeral simulation studies.
KW - adaptive control
KW - characteristic model
KW - sampled-data system
KW - sliding mode control
UR - http://www.scopus.com/inward/record.url?scp=85050855087&partnerID=8YFLogxK
U2 - 10.1109/IWCSN.2017.8276536
DO - 10.1109/IWCSN.2017.8276536
M3 - Conference contribution
AN - SCOPUS:85050855087
T3 - 2017 International Workshop on Complex Systems and Networks, IWCSN 2017
SP - 260
EP - 265
BT - 2017 International Workshop on Complex Systems and Networks, IWCSN 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 14th International Workshop on Complex Systems and Networks, IWCSN 2017
Y2 - 8 December 2017 through 10 December 2017
ER -