Huang, Yande ; Tao, Hongfeng ; Chen, Yiyang ; Rogers, Eric ; Paszke, Wojciech (1975- )
This paper applies iterative learning control to point-to-point tracking problems with a general networked structure. The data is quantized and transmitted through restricted communication channels from the controller to the actuator. Combining a logarithmic quantizer with an encoding and decoding mechanism to quantize the input signals reduces the inuence of the quantization error. ; New design algorithms are developed with conditions for convergence of the tracking error and an extension to fault-tolerant performance under actuator failures. A numerical-based case study demonstrates the application of the new designs, which includes a comparison with another ILC law and the relative merits of the encoding and decoding schemes.
artykuł zamieszczony w: "International Journal of Control"
Biblioteka Uniwersytetu Zielonogórskiego
2024-03-28
2024-03-28
23
https://zbc.uz.zgora.pl/repozytorium/publication/88343
Nazwa wydania | Data |
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Point-to-Point Iterative Learning Control with Quantized Input Signal and Actuator Faults | 2024-03-28 |
Wang, Rui Zhuang, Zhihe Tao, Hongfeng Paszke, Wojciech (1975- ) Stojanovic, Vladimir
Zhuang, Zhihe Tao, Hongfeng Chen, Yiyang Oomen, Tom Paszke, Wojciech (1975- ) Rogers, Eric
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- )
Maniarski, Robert Paszke, Wojciech (1975- ) Rogers, Eric Tao, Hongfeng
Tao, Hongfeng Zheng, Junhao Wei, Junyu Paszke, Wojciech (1975- ) Rogers, Eric Stojanovic, Vladimir
Maniarski, Robert Paszke, Wojciech (1975- ) Hao, Shoulin Tao, Hongfeng