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A model reduction approach for discrete-time linear time-variant systems with delayed inputs

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Abstract

A model reduction approach is presented for discrete-time linear time-variant input-delayed systems. According to this proposed approach, a dynamical variable is constructed by taking advantage of the current state and historical information of input. It is revealed that the behavior of this dynamical variable is governed by a discrete-time linear delay-free system. It is worth noting that the presented variable transformation does not require the system matrix to be invertible. Based on the reduced delay-free models, stabilizing control laws can be easily obtained for the original delayed system. For the case with a single input delay, the constructed variable is an exact prediction for the future state, and thus the stabilizing control law could be designed by replacing the future state with its prediction. Finally, three discrete-time periodic systems with delayed input are employed to illustrate how to utilize the presented model reduction approaches.

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References

  1. Moon F C. Dynamics and Chaos in Manufacturing Process. New York: Wiley, 1998

    Google Scholar 

  2. Cook J A, Powell B K. Modeling of an internal combustion engine for control analysis. IEEE Control Syst Mag, 1988, 8: 20–26

    Article  Google Scholar 

  3. Gu K, Niculescu S I. Survey on recent results in the stability and control of time-delay systems. J Dynamic Syst Measurement Control, 2003, 125: 158–165

    Article  Google Scholar 

  4. Richard J P. Time-delay systems: an overview of some recent advances and open problems. Automatica, 2003, 39: 1667–1694

    Article  MathSciNet  Google Scholar 

  5. Chen S, Xue W C, Zhong S, et al. On comparison of modified ADRCs for nonlinear uncertain systems with time delay. Sci China Inf Sci, 2018, 61: 070223

    Article  MathSciNet  Google Scholar 

  6. Gao S S, You X, Jia X C, et al. A new stabilizing method for linear aperiodic sampled-data systems with time delay inputs and uncertainties. Sci China Inf Sci, 2020, 63: 149203

    Article  MathSciNet  Google Scholar 

  7. Kwon W H, Pearson A E. Feedback stabilization of linear systems with delayed control. IEEE Trans Automat Contr, 1980, 25: 266–269

    Article  MathSciNet  Google Scholar 

  8. Artstein Z. Linear systems with delayed controls: a reduction. IEEE Trans Automat Contr, 1982, 27: 869–879

    Article  MathSciNet  Google Scholar 

  9. Manitius A, Olbrot A. Finite spectrum assignment problem for systems with delays. IEEE Trans Automat Contr, 1979, 24: 541–552

    Article  MathSciNet  Google Scholar 

  10. Farraa B B, Abbou R, Loiseau J J. Inventory control of a class of logistic networks. Syst Control Lett, 2021, 147: 104845

    Article  MathSciNet  Google Scholar 

  11. González A. Robust stabilization of linear discrete-time systems with time-varying input delay. Automatica, 2013, 49: 2919–2922

    Article  MathSciNet  Google Scholar 

  12. Santos T L M. Modified artstein predictor for LTI systems with dead time and unkown disturbances. J Control Autom Electr Syst, 2016, 27: 263–273

    Article  Google Scholar 

  13. Moon Y S, Park P G, Kwon W H. Robust stabilization of uncertain input-delayed systems using reduction method. Automatica, 2001, 37: 307–312

    Article  MathSciNet  Google Scholar 

  14. Yue D, Han Q L. Delayed feedback control of uncertain systems with time-varying input delay. Automatica, 2005, 41: 233–240

    Article  MathSciNet  Google Scholar 

  15. Yue D. Robust stabilization of uncertain systems with unknown input delay. Automatica, 2004, 40: 331–336

    Article  MathSciNet  Google Scholar 

  16. Chen W H, Zheng W X. On improved robust stabilization of uncertain systems with unknown input delay. Automatica, 2006, 42: 1067–1072

    Article  MathSciNet  Google Scholar 

  17. Jankovic M. Recursive predictor design for state and output feedback controllers for linear time delay systems. Automatica, 2010, 46: 510–517

    Article  MathSciNet  Google Scholar 

  18. Zhou B, Li Z Y, Lin Z. Stabilization of discrete-time systems with multiple actuator delays and saturations. IEEE Trans Circuits Syst I, 2013, 60: 389–400

    Article  MathSciNet  Google Scholar 

  19. Zhou B. Observer-based output feedback control of discrete-time linear systems with input and output delays. Int J Control, 2014, 87: 2252–2272

    MathSciNet  Google Scholar 

  20. Wang Y, Wu A-G. Prediction schemes for disturbance attenuation of discrete-time linear systems with delayed input and delay-free input. Intl J Robust Nonlinear, 2022, 32: 5574–5599

    Article  MathSciNet  Google Scholar 

  21. Mazenc F, Malisoff M, Niculescu S I. Reduction model approach for linear time-varying systems with delays. IEEE Trans Automat Contr, 2014, 59: 2068–2082

    Article  MathSciNet  Google Scholar 

  22. Mazenc F, Malisoff M. Reduction model approach for linear time-varying systems with input delays based on extensions of Floquet theory. Syst Control Lett, 2016, 94: 70–76

    Article  MathSciNet  Google Scholar 

  23. Mondié S, Michiels W. Finite spectrum assignment of unstable time-delay systems with a safe implementation. IEEE Trans Automat Contr, 2003, 48: 2207–2212

    Article  MathSciNet  Google Scholar 

  24. Léchappé V, Moulay E, Plestan F. Prediction-based control for LTI systems with uncertain time-varying delays and partial state knowledge. Int J Control, 2018, 91: 1403–1414

    Article  MathSciNet  Google Scholar 

  25. Tsubakino D, Krstic M, Oliveira T R. Exact predictor feedbacks for multi-input LTI systems with distinct input delays. Automatica, 2016, 71: 143–150

    Article  MathSciNet  Google Scholar 

  26. Kong S J, Bresch-Pietri D. Prediction-based controller for linear systems with stochastic input delay. Automatica, 2022, 138: 110149

    Article  MathSciNet  Google Scholar 

  27. Lozano R, Castillo P, Garcia P, et al. Robust prediction-based control for unstable delay systems: application to the yaw control of a mini-helicopter. Automatica, 2004, 40: 603–612

    Article  MathSciNet  Google Scholar 

  28. Duan G-R. Linear Systems Theory (in Chinese). Beijing: Science Press, 2016

    Google Scholar 

  29. Zhou B. Truncated Predictor Feedback for Time-Delay Systems. Berlin: Springer-Verlag, 2014

    Book  Google Scholar 

  30. Wu A-G, Wang Y. Prediction schemes for disturbance attenuation of discrete-time linear systems with input-delay. Intl J Robust Nonlinear, 2021, 31: 772–786

    Article  MathSciNet  Google Scholar 

  31. de Souza C E, Trofino A. An LMI approach to stabilization of linear discrete-time periodic systems. Int J Control, 2000, 73: 696–703

    Article  MathSciNet  Google Scholar 

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Acknowledgements

This work was supported by Shenzhen Science and Technology Program (Grant Nos. RCJC20210609104400005, KQTD20210811090146075), HIT Wuhu Robot Technology Research Institute (Grant No. HIT-CXY-CMP2-IARU-21-01), Science Center Program of National Natural Science Foundation of China (Grant No. 62188101), National Natural Science Foundation of China (Grant No. 62173112), and Joint Funds of the National Natural Science Foundation of China (Grant No. U2013203).

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Correspondence to Ai-Guo Wu.

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Wu, AG., Duan, GR., Wang, Y. et al. A model reduction approach for discrete-time linear time-variant systems with delayed inputs. Sci. China Inf. Sci. 67, 142201 (2024). https://doi.org/10.1007/s11432-022-3766-3

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  • DOI: https://doi.org/10.1007/s11432-022-3766-3

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