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Iterative Learning Control of a Discrete-Time System under Delay along the Sample Trajectory and Input Saturation

  • INTELLECTUAL CONTROL SYSTEMS, DATA ANALYSIS
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Abstract

This paper considers a linear discrete-time system operating in a repetitive mode to track a reference trajectory with a required accuracy. The control variable has a delay along the sample trajectory, and saturation-type constraints are imposed. We introduce a new method for designing an iterative learning control law that depends on the delay and ensures the required accuracy of tracking. A numerical example demonstrates the effectiveness of this method.

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Funding

This work was supported by the Russian Science Foundation, project no. 22-21-00612; https://rscf.ru/project/22-21-00612/.

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Authors and Affiliations

  1. Arzamas Polytechnic Institute of  Alekseev Nizhny Novgorod State Technical University, Arzamas, Nizhny Novgorod oblast, Russia

    P. V. Pakshin & J. P. Emelyanova

Authors
  1. P. V. Pakshin
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  2. J. P. Emelyanova
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Corresponding authors

Correspondence to P. V. Pakshin or J. P. Emelyanova.

Additional information

This paper was recommended for publication by N.V. Kuznetsov, a member of the Editorial Board

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Pakshin, P.V., Emelyanova, J.P. Iterative Learning Control of a Discrete-Time System under Delay along the Sample Trajectory and Input Saturation. Autom Remote Control 84, 71–82 (2023). https://doi.org/10.1134/S0005117923010058

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  • DOI: https://doi.org/10.1134/S0005117923010058

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