Predictor-based composite disturbance rejection control for discrete-time linear systems with input delay and disturbance

Xing Hu, Jinhui Zhang*, Zheng Guang Wu

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

In this paper, a new composite disturbance rejection control approach is proposed for a class of discrete-time systems with input delays and mutational disturbances. To deal with the input delay, a predicted state is designed and then the original system is transformed into a delay-free auxiliary system with unknown future disturbance. By designing a new Lagrange-interpolation-polynomial-based predictor, the disturbance is predicted, and the proposed predictor provides a fast convergence speed and the prediction error is small. Besides, to identify the unknown mutational points, a mutational points identification (MPI) strategy is proposed, based on which the composite disturbance rejection controller is further designed by combining a new discrete-time sliding mode controller and the disturbance predictor. It is shown that under proposed controller, system state will converge to a small region, and the deviations caused by the mutational points are bounded. Finally, the simulations illustrate the advantages of the proposed approach.

Original languageEnglish
Article number112408
JournalAutomatica
Volume179
DOIs
Publication statusPublished - Sept 2025
Externally publishedYes

Keywords

  • Disturbance prediction
  • Input delay
  • Lagrange interpolation polynomial
  • Mutational points

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