International Journal of Control, Automation and Systems 2021; 19(7): 2536-2543
Published online May 1, 2021
https://doi.org/10.1007/s12555-020-0220-4
© The International Journal of Control, Automation, and Systems
In this paper, the event-triggered adaptive control for a class of series elastic actuator systems is considered. To solve this problem, firstly we propose an adaptive control scheme with a novel one-step design framework such that both the controller expression and parameter estimator are much simpler than related existing recursive design approaches. Then a set of event-triggering conditions is designed which is updated for each triggering. The ISS assumption is not needed for control design. It is shown that the proposed control schemes guarantee that all the closed-loop signals are semi-globally bounded and the stabilization error converges to the origin asymptotically. The Zeno behavior is avoided. Simulation results illustrate the effectiveness of our scheme.
Keywords Adaptive control, event-triggered control, nonlinear systems, strict-feedback nonlinear system.
International Journal of Control, Automation and Systems 2021; 19(7): 2536-2543
Published online July 1, 2021 https://doi.org/10.1007/s12555-020-0220-4
Copyright © The International Journal of Control, Automation, and Systems.
Tingting Gao, Jiangshuai Huang*, Rui Ling, and Yong Zhou
Chongqing University
In this paper, the event-triggered adaptive control for a class of series elastic actuator systems is considered. To solve this problem, firstly we propose an adaptive control scheme with a novel one-step design framework such that both the controller expression and parameter estimator are much simpler than related existing recursive design approaches. Then a set of event-triggering conditions is designed which is updated for each triggering. The ISS assumption is not needed for control design. It is shown that the proposed control schemes guarantee that all the closed-loop signals are semi-globally bounded and the stabilization error converges to the origin asymptotically. The Zeno behavior is avoided. Simulation results illustrate the effectiveness of our scheme.
Keywords: Adaptive control, event-triggered control, nonlinear systems, strict-feedback nonlinear system.
Vol. 22, No. 12, pp. 3545~3811
Lingfang Sun, Yida Zang, Xiuyu Zhang*, Guoqiang Zhu*, Cheng Zhong, and Chenliang Wang
International Journal of Control, Automation, and Systems 2024; 22(3): 867-882Jianhui Wang, Chen Wang, Yushen Wu, Yonghua Li, Yongping Du, and Kairui Chen*
International Journal of Control, Automation, and Systems 2023; 21(8): 2541-2553Yunlong Zhang, Guoguang Wen*, Ahmed Rahmani, and Xiaoqin Zhai
International Journal of Control, Automation and Systems 2023; 21(1): 94-108