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Networked iterative learning control approach for nonlinear systems with random communication delay

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  • Jian Liu
  • Xiaoe Ruan

Abstract

This paper constructs a proportional-type networked iterative learning control (NILC) scheme for a class of discrete-time nonlinear systems with the stochastic data communication delay within one operation duration and being subject to Bernoulli-type distribution. In the scheme, the communication delayed data is replaced by successfully captured one at the concurrent sampling moment of the latest iteration. The tracking performance of the addressed NILC algorithm is analysed by statistic technique in virtue of mathematical expectation. The analysis shows that, under certain conditions, the expectation of the tracking error measured in the form of 1-norm is asymptotically convergent to zero. Numerical experiments are carried out to illustrate the validity and effectiveness.

Suggested Citation

  • Jian Liu & Xiaoe Ruan, 2016. "Networked iterative learning control approach for nonlinear systems with random communication delay," International Journal of Systems Science, Taylor & Francis Journals, vol. 47(16), pages 3960-3969, December.
  • Handle: RePEc:taf:tsysxx:v:47:y:2016:i:16:p:3960-3969
    DOI: 10.1080/00207721.2016.1165894
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    Cited by:

    1. Dong Shen & Chao Zhang, 2017. "Learning control for discrete-time nonlinear systems with sensor saturation and measurement noises," International Journal of Systems Science, Taylor & Francis Journals, vol. 48(13), pages 2764-2778, October.

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