TY - GEN
T1 - Output Regulation of Second-Order Nonlinear Systems Subject to Unknown Control Direction Using Extremum Seeking Control
AU - HARRY, Telema
AU - GUAY, Martin
AU - WANG, Shimin
N1 - The authors would like to express their sincere gratitude to Professor Jie Huang and Professor Youfeng Su for their help in the process of writing this paper.
PY - 2023
Y1 - 2023
N2 - The Nussbaum gain approach has been the standard technique in solving unknown control direction problems. In this paper, we propose control laws composed of extremum seeking control, an internal model, and a compensator signal to solve the robust practical output regulation problem of a second-order system subject to an unknown control direction. Using the Lie bracket approximation technique, we show that the closed-loop system is bounded and the origin is E-Semi-global Practical Uniform Asymptotic Stable. Finally, we illustrate the effectiveness of the proposed approach with a numerical example of a Van der Pol system.
AB - The Nussbaum gain approach has been the standard technique in solving unknown control direction problems. In this paper, we propose control laws composed of extremum seeking control, an internal model, and a compensator signal to solve the robust practical output regulation problem of a second-order system subject to an unknown control direction. Using the Lie bracket approximation technique, we show that the closed-loop system is bounded and the origin is E-Semi-global Practical Uniform Asymptotic Stable. Finally, we illustrate the effectiveness of the proposed approach with a numerical example of a Van der Pol system.
UR - https://www.scopus.com/pages/publications/85184804907
U2 - 10.1109/CDC49753.2023.10383565
DO - 10.1109/CDC49753.2023.10383565
M3 - Conference paper (refereed)
AN - SCOPUS:85184804907
SN - 9798350301250
T3 - Proceedings of the IEEE Conference on Decision and Control
SP - 6780
EP - 6785
BT - 2023 62nd IEEE Conference on Decision and Control, CDC 2023
PB - IEEE
T2 - 62nd IEEE Conference on Decision and Control, CDC 2023
Y2 - 13 December 2023 through 15 December 2023
ER -