Skip to main content
Log in

Robust Explicit Solution of Multirate Predictive Control System with External Disturbances

  • Short Paper
  • Published:
Circuits, Systems, and Signal Processing Aims and scope Submit manuscript

Abstract

This paper considers the problem of robust predictive control for a class of uncertain multirate systems, in which the output sampling period is several times larger than the one of input updating. By means of dynamic programming and multiparametric quadratic programming (mp-QP) techniques, this work proposes a novel robust explicit model predictive control (REMPC) algorithm such that the higher on-line updating speed of input can be attained. Firstly, the optimization problem is decomposed into several subproblems. For each subproblem, a constraint condition only involving current state and input is constructed. Then taking current state and future inputs as parameter variables we can obtain a robust explicit solution for the new reformulated optimization subproblem by mp-QP method. Especially, by choosing a maximal robust positive invariant set as the terminal constraint set of the optimization problem, closed-loop robust stability of the multirate control system subject to external disturbance can be guaranteed. Finally, a numerical simulation is given to show the effectiveness of the proposed method.

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.

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

References

  1. M. Araki, K. Yamamoto, Multivariable multirate sampled-data systems: state-space description, transfer characteristics, and Nyquist criterion. IEEE Trans. Autom. Control 31(2), 145–154 (1986)

    Article  MathSciNet  Google Scholar 

  2. D. Barcelli, A. Bemporad, G. Ripaccioli, Hierarchical multi-rate control design for constrained linear systems, in Proceedings of IEEE Decision and Control Conference, Atlanta, USA (2010), pp. 5216–5221

    Google Scholar 

  3. A. Bemporad, F. Borrelli, M. Morari, Model predictive control based on linear programming-the explicit solution. IEEE Trans. Autom. Control 47(12), 1974–1985 (2002)

    Article  MathSciNet  Google Scholar 

  4. D.P. Bertsekas, Dynamic Programming and Optimal Control (Athena Scientific, Mass, 2011)

    Google Scholar 

  5. T. Chen, L. Qiu, H design of general multirate sampled-data control systems. Automatica 30, 1139–1152 (1994)

    Article  MathSciNet  MATH  Google Scholar 

  6. M. Cimino, P.R. Pagilla, Design of linear time-invariant controllers for multirate systems. Automatica 46(8), 1315–1319 (2010)

    Article  MathSciNet  MATH  Google Scholar 

  7. A. Cuenca, J. Salt, V. Casanova, R. Piza, An approach based on an adaptive multi-rate smith predictor and gain scheduling for a networked control system: implementation over Profibus-DP. Int. J. Control. Autom. Syst. 8, 473–481 (2010)

    Article  Google Scholar 

  8. B. Ding, Y. Xi, M.T. Cychowski, T. O’Mahony, A synthesis approach for output feedback robust constrained model predictive control. Automatica 44, 258–264 (2008)

    Article  MathSciNet  MATH  Google Scholar 

  9. M. Heidarinejad, J. Liu, D.M. Peña, J.F. Davis, P.D. Christofides, Multirate Lyapunov-based distributed model predictive control of nonlinear uncertain systems. J. Process Control 21(9), 1231–1242 (2011)

    Article  Google Scholar 

  10. H. Huang, D. Li, Z. Lin, Y. Xi, An improved robust model predictive control design in the presence of actuator saturation. Automatica 47(4), 861–864 (2011)

    Article  MathSciNet  MATH  Google Scholar 

  11. K.I. Kouramas, N.P. Faisca, C. Panos, E.N. Pistikopoulos, Explicit/multi-parametric model predictive control (MPC) of linear discrete-time systems by dynamic and multi-parametric programming. Automatica 47(8), 1638–1645 (2011)

    Article  MathSciNet  MATH  Google Scholar 

  12. D. Li, Y. Xi, Constrained robust feedback model predictive control for uncertain systems with polytopic description. Int. J. Control 82(7), 1267–1274 (2009)

    Article  MathSciNet  MATH  Google Scholar 

  13. K.V. Ling, K.W. Lim, A state space GPC with extension to multirate control. Automatica 32(7), 1067–1071 (1996)

    Article  MathSciNet  MATH  Google Scholar 

  14. X. Liu, J. Lu, Least squares based iterative identification for a class of multirate systems. Automatica 46, 549–554 (2010)

    Article  MATH  Google Scholar 

  15. M. Liu, P. Shi, L. Zhang, X. Zhao, Fault-tolerant control for nonlinear Markovian jump systems via proportional and derivative sliding mode observer technique. IEEE Trans. Circuits Syst. I 58(11), 2755–2764 (2011)

    Article  MathSciNet  Google Scholar 

  16. M. Liu, X. Cao, P. Shi, Fault estimation and tolerant control for T-S fuzzy stochastic systems. IEEE Trans. Fuzzy Syst. (2012). doi:10.1109/TFUZZ.2012.2209432

    Google Scholar 

  17. Y. Liu, F. Ding, Y. Shi, Least squares estimation for a class of non-uniformly sampled systems based on the hierarchical identification principle. Circuits Syst. Signal Process. 31, 1985–2000 (2012)

    Article  MathSciNet  MATH  Google Scholar 

  18. B. Liu, Y. Xia, M.S. Mahmoud, H. Wu, S. Chui, New predictive control scheme for networked control systems. Circuits Syst. Signal Process. 31, 945–960 (2012)

    Article  MATH  Google Scholar 

  19. L. Qiu, K. Tan, Direct state space solution of multirate sampled-data H 2 optimal control. Automatica 34, 1431–1437 (1998)

    Article  MATH  Google Scholar 

  20. R. Scattolini, N. Schiavoni, A multirate model-based predictive controller. IEEE Trans. Autom. Control 40, 1093–1097 (1995)

    Article  MathSciNet  MATH  Google Scholar 

  21. B. Yu, Y. Shi, H. Huang, l 2l filtering for multirate systems based on lifted models. Circuits Syst. Signal Process. 27, 699–711 (2008)

    Article  MathSciNet  MATH  Google Scholar 

  22. Y. Zou, T. Chen, S. Li, Network-based predictive control of multirate systems. IET Control Theory Appl. 4, 1145–1156 (2010)

    Article  MathSciNet  Google Scholar 

  23. Y. Zou, Y. Niu, B. Chen, T. Jia, Networked predictive control of constrained linear systems with input quantization. Int. J. Syst. Sci. (2012). doi:10.1080/00207721.2012.683828

    Google Scholar 

Download references

Acknowledgements

This work was supported in part by NNSF of China (61004062, 61074041, 61273073), ’Chen Guang’ Program (10CG30) supported by Shanghai Municipal Education Commission and Shanghai Education Development Foundation, the Fundamental Research Funds for the Central Universities and the Foundation of Key Laboratory of System Control and Information Processing, Ministry of Education, China.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yuanyuan Zou.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Jiang, Y., Zou, Y. & Niu, Y. Robust Explicit Solution of Multirate Predictive Control System with External Disturbances. Circuits Syst Signal Process 32, 2503–2515 (2013). https://doi.org/10.1007/s00034-013-9579-2

Download citation

  • Received:

  • Revised:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00034-013-9579-2

Keywords

Navigation