Creator:
Huang, Yande ; Tao, Hongfeng ; Chen, Yiyang ; Rogers, Eric ; Paszke, Wojciech (1975- )
Title:
Point-to-Point Iterative Learning Control with Quantized Input Signal and Actuator Faults
Subject and Keywords:
iterative learning control ; quantized input signal ; encoding-decoding mechanism ; optimal design ; fault-tolerant
Abstract:
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.
Description:
artykuł zamieszczony w: "International Journal of Control"