Guan, Shanglei ; Zhuang, Zhihe ; Tao, Hongfeng ; Stojanovic, Vladimir ; Paszke, Wojciech (1975- )
In this paper, a feedback-aided PD-type iterative learning control (ILC) design is proposed for the time-varying systems with non-uniform trial lengths to achieve asymptotic tracking of the desired trajectory. To alleviate the problem of missing information caused by non-uniform trial lengths, signals from most recently available iterations can be used for system learning by introducing an indicato function to construct recursively generated update error and input sequences. ; The main results are obtained by utilizing the combination of [lambda]-norm technique and inductive analysis approach, and the design is extended to nonlinear time-varying systems. At last, the effectiveness of the proposed feedback-aided ILC design for linear and nonlinear time-varying systems is demonstrated by a numerical simulation and a single-joint robot model.
Feb 13, 2024
Feb 13, 2024
43
https://zbc.uz.zgora.pl/publication/87314
Edition name | Date |
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Feedback-aided PD-type iterative learning control for time-varying systems with non-uniform trial lengths | Feb 13, 2024 |
Zhuang, Zhihe Tao, Hongfeng Chen, Yiyang Rogers, Eric Oomen, Tom Paszke, Wojciech (1975- )
Zhuang, Zhihe Tao, Hongfeng Chen, Yiyang Stojanovic, Vladimir Paszke, Wojciech (1975- )
Zhuang, Zhihe Tao, Hongfeng Chen, Yiyang Stojanovic, Vladimir Paszke, Wojciech (1975- )
Wang, Rui Zhuang, Zhihe Tao, Hongfeng Paszke, Wojciech (1975- ) Stojanovic, Vladimir
Zhuang, Zhihe Tao, Hongfeng Chen, Yiyang Oomen, Tom Paszke, Wojciech (1975- ) Rogers, Eric
Tao, Hongfeng Zheng, Junhao Wei, Junyu Paszke, Wojciech (1975- ) Rogers, Eric Stojanovic, Vladimir
Maniarski, Robert Paszke, Wojciech (1975- ) Hao, Shoulin Tao, Hongfeng
Maniarski, Robert Paszke, Wojciech (1975- ) Tao, Hongfeng Hao, Shoulin