Effect of output noise in inverse-model-based  iterative learning control

doi:10.3969/j.issn.0253-2778.2014.01.010

Abstract

Abstract: Inverse-model-based iterative learning control (ILC) for linear-time invariant, single-input single output (SISO) systems subject to output noise is proposed with the intent of predicting expectation of the underlying “noise-free” mean square error (Euclidean norm) on each iteration. Frequency domain formulae are derived to provide an insight into links between plant characteristics, noise spectra and inverse-model-based ILC parameters. Simulations are used to illustrate the theoretical findings.

Key words: inverse-model-based iterative learning control, output noise, variance, expectation, Euclidean norm, frequency domain

CLC Number:

LIU Shaojie. Effect of output noise in inverse-model-based iterative learning control[J]. Journal of University of Science and Technology of China, 2014, 44(1): 79-86.

References

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Effect of output noise in inverse-model-based iterative learning control

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