TY - GEN
T1 - Output Regulation of Nonlinear Systems by an Emulation-Based Approach
AU - Wu, Jieshuai
AU - Lu, Maobin
AU - Deng, Fang
AU - Chen, Jie
N1 - Publisher Copyright:
© 2023 American Automatic Control Council.
PY - 2023
Y1 - 2023
N2 - In this paper, we investigate the semi-global robust output regulation problem of a class of nonlinear networked control systems by an emulation approach. We propose a class of sampled-data control laws to solve this problem. In particular, by the emulation approach, we first develop a class of sampled-data dynamic output feedback control laws. Then, based on the internal model principle, we convert the semi-global robust output regulation problem into a semi-global robust stabilization problem of an augmented hybrid system composed of the internal model and the original system. Next, we show that semi-global robust stabilization of the augmented hybrid system can be achieved by a sampled-data control law and thus leading to the solution of the semi-global robust output regulation problem. Finally, an example is given to illustrate our control approach.
AB - In this paper, we investigate the semi-global robust output regulation problem of a class of nonlinear networked control systems by an emulation approach. We propose a class of sampled-data control laws to solve this problem. In particular, by the emulation approach, we first develop a class of sampled-data dynamic output feedback control laws. Then, based on the internal model principle, we convert the semi-global robust output regulation problem into a semi-global robust stabilization problem of an augmented hybrid system composed of the internal model and the original system. Next, we show that semi-global robust stabilization of the augmented hybrid system can be achieved by a sampled-data control law and thus leading to the solution of the semi-global robust output regulation problem. Finally, an example is given to illustrate our control approach.
UR - http://www.scopus.com/inward/record.url?scp=85167782336&partnerID=8YFLogxK
U2 - 10.23919/ACC55779.2023.10156239
DO - 10.23919/ACC55779.2023.10156239
M3 - Conference contribution
AN - SCOPUS:85167782336
T3 - Proceedings of the American Control Conference
SP - 4779
EP - 4784
BT - 2023 American Control Conference, ACC 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 American Control Conference, ACC 2023
Y2 - 31 May 2023 through 2 June 2023
ER -