Stabilization of Linear Systems With Time Delay and Disturbance: A New State Prediction Approach
成果类型:
Article
署名作者:
Zhao, Kai; Zhang, Jinhui; Sun, Zhongqi; Chen, Duanduan
署名单位:
Beijing Institute of Technology; Beijing Institute of Technology
刊物名称:
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
ISSN/ISSBN:
0018-9286
DOI:
10.1109/TAC.2023.3312558
发表日期:
2024
页码:
2530-2536
关键词:
Delays
Delay effects
Output feedback
Taylor series
predictive models
CONVERGENCE
uncertainty
disturbance rejection
state prediction
time delay
摘要:
In this article, a novel state prediction framework is proposed to address the stabilization problem of linear time-invariant system with input delay and external disturbance. The predicted state is obtained by utilizing the estimates of unknown disturbance and its derivatives, which possesses a higher accuracy than traditional methods, and the predicted disturbance is incorporated into the controller to achieve active disturbance rejection. Furthermore, the application of the proposed predictive scheme is extended to the output feedback system and the input-output delayed system, and the corresponding algorithms are designed. Finally, the advantages of the proposed method are validated by simulations.