Skip to main content
Log in

Optimal tracking control for discrete-time systems with multiple input delays under sinusoidal disturbances

  • Regular Papers
  • Control Theory
  • Published:
International Journal of Control, Automation and Systems Aims and scope Submit manuscript

Abstract

This study researches the tracking control problem for discrete-time systems with multiple input delays affected by sinusoidal disturbances. This study is organized around the expression of sinusoidal and disturbances and the delay-free transformation. First, based on the periodic characteristic of the sinusoidal disturbance, the sinusoidal disturbances are considered as the output of an exosystem. By proposing a discrete variable transformation, the discrete-time system with multiple input delays and the quadratic performance index are transformed into equivalent delay-free ones. Then, by constructing an augmented system that comprises the states of the exosystems of sinusoidal disturbances, the reference input, and the delay-free transformation systems, the original tracking problem is transformed into the optimal tracking problem for a delay-free system with respect to the simplified performance index. The optimal tracking control (OTC) law is obtained from Riccati and Stein equations. The existent and uniqueness of the optimal control law is proved. A reduced-order observer is constructed to solve the problem of physically realizable for the items of the reference input and sinusoidal disturbances. Finally, the feasibility and effectiveness of the proposed approaches are validated by numerical examples.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. M. Bodson, A. Sacks, and P. Khosla, “Harmonic generation in adaptive feedforward cancellation schemes,” IEEE Trans. on Automatic Control, vol. 39, no. 9, pp. 1939–1944, 1994.

    Article  MATH  MathSciNet  Google Scholar 

  2. B.-L. Zhang, L. Ma, and Q.-L. Han, “Sliding mode H 8 control for offshore steel jacket platforms subject to nonlinear self-excited wave force and external disturbance,” Nonlinear Analysis: Real World Applications, vol. 14, no. 1, pp. 163–178, 2013.

    Article  MATH  MathSciNet  Google Scholar 

  3. B.-L. Zhang, Q.-L. Han, X.-M. Zhang, and X. Yu, “Integral sliding mode control for offshore steel jacket platforms,” Journal of Sound and Vibration, vol. 331, no. 14, pp. 3271–3285, 2012.

    Article  Google Scholar 

  4. S. R. Hall and N. M. Wereley, “Performance of higher harmonic control algorithms for helicopter vibration reduction,” Journal of Guidance, Control and Dynamics, vol. 14, no. 4, pp. 793–797, 1993.

    Article  Google Scholar 

  5. M.-C. Fang and T.-Y. Chen, “A parametric study of wave loads on trimaran ships traveling in waves,” Ocean Engineering, vol. 35, no. 8–9, pp. 749–762, 2008.

    Article  Google Scholar 

  6. R. Rebarber and G. Weiss, “Internal model based tracking and disturbance rejection for stable wellposed systems,” Automatica, vol. 39, no. 9, pp. 1555–1569, 2003.

    Article  MATH  MathSciNet  Google Scholar 

  7. A. Ilchmann and E. P. Ryan, “On tracking and disturbance rejection by adaptive control,” Systems and Control Letters, vol. 52, no. 2, pp. 137–147, 2004.

    Article  MATH  MathSciNet  Google Scholar 

  8. G.-T. Tang and D.-X. Gao, “Approximation design of optimal controllers for nonlinear systems with sinusoidal disturbances,” Nonlinear Analysis: Theory, Methods and Applications, vol. 66, no. 2, pp. 403–414, 2007.

    Article  MATH  MathSciNet  Google Scholar 

  9. M. Bodson and S. C. Douglas, “Adaptive algorithms for the rejection of sinusoidal disturbances with unknown frequency,” Automatica, vol. 33, no. 12, pp. 2213–2221, 1997.

    Article  MATH  MathSciNet  Google Scholar 

  10. M. Riccardo and S. Giovanni, “Global compensation of unknown sinusoidal disturbances for a class of nonlinear nonminimum phase systems,” IEEE Trans. on Automatic Control, vol. 50, no. 11, pp. 1816–1822, 2005.

    Article  Google Scholar 

  11. Z. Ding, “Asymptotic rejection of unknown sinusoidal disturbances in nonlinear systems,” Automatica, vol. 43, no. 1, pp. 174–177, 2007.

    Article  MathSciNet  Google Scholar 

  12. Z. Ding, “Adaptive estimation and rejection of unknown sinusoidal disturbances in a class of nonminimum-phase nonlinear systems,” IEE Proceedings: Control Theory and Applications, vol. 153, no. 4, pp. 379–386, 2007.

    Google Scholar 

  13. L. Guo and S. Cao, “Anti-disturbance control theory for systems with multiple disturbances: a survey,” ISA Transactions, vol. 53, no. 4, pp. 846–849, 2014.

    Article  MathSciNet  Google Scholar 

  14. H. Koroglu and C. W. Scherer, “Scheduled control for robust attenuation of non-stationary sinusoidal disturbances with measurable frequencies,” Automatica, vol. 47, no. 3, pp. 501–514, 2011.

    Article  MathSciNet  Google Scholar 

  15. J. Lin and L. Xie, “H 8 control of linear systems with multiple input delays with application to ATM network congestion control,” Proc. of the 6th World Congress on Intelligent Control and Automation, pp. 21–23, 2006.

    Google Scholar 

  16. E. Altman and T. Basar, “Optimal rate control for high speed telecommunication networks,” Proc. of the 34th IEEE Conference on Decision and Control, vol. 2, pp. 1389–1394, 1995.

    Google Scholar 

  17. E. Altman, T. Basar, and R. Srikant, “Congestion control as a stochastic control problem with action delays,” Proc. of the 34th IEEE Conference on Decision and Control, pp. 1389–1394, 1999.

    Google Scholar 

  18. L. Xiao, A. Hassibi, and J. P. How, “Control with random communication delays via a discrete-time jump system approach,” Proc. of the American Control Conference, vol. 3, pp. 2199–2204, Chicago, 2000.

    Google Scholar 

  19. J. Chu, “Application of a discrete optimal tracking controller to an industrial electric heater with pure delays,” Journal of Process Control, vol. 5, no. 1, pp. 3–8, 1995.

    Article  Google Scholar 

  20. K. P. M. Bhat and H. N. Koivo, “An observer theory for time-delay systems,” IEEE Trans. on Automatic Control, vol. 21, no. 2, pp. 266–269, 1976.

    Article  MATH  Google Scholar 

  21. B. Zhou, Z.-Y. Li, and Z. Lin, “Observer based output feedback control of linear systems with input and output delays,” Automatica, vol. 49, no. 7, pp. 2039–2052, 2013.

    Article  MathSciNet  Google Scholar 

  22. K. Yakoubi and Y. Chitour, “Linear systems subject to input saturation and time delay: global asymptotic stabilization,” IEEE Trans. on Automatic Control, vol. 52, no. 5, pp. 874–879, 2007.

    Article  MathSciNet  Google Scholar 

  23. H. Zhang, G. Duan, and L. Xie, “Linear quadratic regulation for linear time-varying systems with multiple input delays. part I: discrete time case,” Proc. of the Fifth International Conference on Control and Automation, vol. 2, pp. 948–953, Budapest, 2005.

    Google Scholar 

  24. H. Zhang, L. Xie, and G. Duan, “H 8 control of discrete-time systems with multiple input delays,” IEEE Trans. on Automatic Control, vol. 52, no. 2, pp. 271–283, 2007.

    Article  MathSciNet  Google Scholar 

  25. H.-G. Zhao, H.-S. Zhang, P. Cui, and X. Lu, “Spectral factorization for multiple input delayed discrete- time systems with applications to control,” International Journal of Control, Automation and Systems, vol. 8, no. 3, pp. 662–666, 2010.

    Article  Google Scholar 

  26. X. Song, H. Zhang, and L. Xie, “Stochastic linear quadratic regulation for discrete-time linear systems with input delay,” Automatica, vol. 45, no. 9, pp. 2067–2073, 2009.

    Article  MATH  MathSciNet  Google Scholar 

  27. L. Mirkin, “On the approximation of distributeddelay control laws,” Systems and Control Letters, vol. 51, no.5, pp. 331–342, 2004.

    Article  MATH  MathSciNet  Google Scholar 

  28. G.-Y. Tang and H.-H. Wang, “Suboptimal control for discrete linear systems with time-delays: A successive approximation approach,” Acta Automatica Sinica, vol. 31, no. 3, pp. 419–426, 2005.

    MathSciNet  Google Scholar 

  29. H.-H. Wang and G.-Y. Tang, “Observer-based optimal output tracking for discrete-time systems with multiple state and input delays,” International Journal of Control, Automation and Systems, vol. 7, no. 1, pp. 57–66, 2009.

    Article  Google Scholar 

  30. P. Albertos and P. Garcia, “Predictor-observerbased control of systems with multiple input/output delays,” Journal of Process Control, vol. 22, pp. 1350–1357, 2012.

    Article  Google Scholar 

  31. H. T. Banks, M. Q. Jacobs, and M. R. Latina, “The synthesis of optimal controls for linear time optimal problems with retarded controls,” Journal of Optimization Theory and Applications, vol. 8, no. 5, pp. 319–366, 1971.

    Article  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yue-Hui Chen.

Additional information

Shi-Yuan Han received his M.S. and Ph.D. from the College of Information Science and Engineering at Ocean University of China in 2009 and 2012. During 2011–2012, he had been as visiting scholar in Discipline of Networks and Communications, School of EECS at Queensland University of Technology, Australia. Currently, he is a researcher in Shandong Provincial Key Laboratory of Network-based Intelligent Computing, University of Jinan, Jinan, 250022, P.R. China. His main research interests include intelligent transport systems, time delay systems and networked control systems.

Dong Wang received his M.S. and Ph.D. from the College of Life Science at Shannxi Normal University of China, in 2007 and 2010, respectively. Currently, he is a researcher in Shandong Provincial Key Laboratory of Network-based Intelligent Computing, University of Jinan, Jinan, 250022, P.R. China. His main research interests include computational intelligence, neurodynamics and nonlinear dynamics system.

Yue-Hui Chen received his B.Sc. degree from the Department of Mathematics (major in Control Theory) at the Shandong University in 1985, and Master and Ph.D. degrees from the School of Electrical Engineering and Computer Science from the Kumamoto University of Japan, in 1999 and 2001, respectively. During 2001 to 2003, he had worked as the Senior Researcher at the Memory-Tech Corporation, Tokyo. Since 2003 he has been a member at the Faculty of School of Information Science and Engineering, Jinan University, where he currently heads the Computational Intelligence Laboratory. His research interests include evolutionary computation, neural networks, fuzzy logic systems, hybrid computational intelligence, computational intelligence grid and their applications in time series prediction, system identification, intelligent control, intrusion detection systems, web intelligence, bioinformatics and systems biology.

Gong-You Tang received his Ph.D. degree in Control Theory and Applications from the South China University of Technology, P. R. China in 1991. He is a Professor at the College of Information Science and Engineering at the Ocean University of China, Qingdao, P.R. China. He is the Editor of the Journal of the Ocean University of China and Control and the Instruments in Chemical Industry. His research interests are in the areas of nonlinear systems, delay systems, large-scale systems, and networked control systems, with emphasis in optimal control, robust control, fault diagnosis and stability analysis.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Han, SY., Wang, D., Chen, YH. et al. Optimal tracking control for discrete-time systems with multiple input delays under sinusoidal disturbances. Int. J. Control Autom. Syst. 13, 292–301 (2015). https://doi.org/10.1007/s12555-013-0271-x

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12555-013-0271-x

Keywords

Navigation