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Mathematical Problems in Engineering
Volume 2015 (2015), Article ID 857546, 7 pages
http://dx.doi.org/10.1155/2015/857546
Research Article

Design of Explicit Fuzzy Prediction Controller for Constrained Nonlinear Systems

School of Electrical Information and Automation, Qufu Normal University, Rizhao, Shandong 276826, China

Received 31 March 2014; Accepted 26 August 2014

Academic Editor: Kang Li

Copyright © 2015 Yan Yan and Baili Su. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. C.-M. Chow, A. G. Kuznetsov, and D. W. Clarke, “Successive one-step-ahead predictions in multiple model predictive control,” International Journal of Systems Science, vol. 29, no. 9, pp. 971–979, 1998. View at Publisher · View at Google Scholar · View at Zentralblatt MATH · View at Scopus
  2. R. Hedjar, M. Alsulaiman, and K. Almutib, “Approximated nonlinear predictive control for trajectory tracking of a wheeled mobile robot,” in Proceeding of the 1st International Conference on Robot, Vision and Signal Processing (RVSP '11), pp. 296–299, Kaohsiung, Taiwan, November 2011. View at Publisher · View at Google Scholar · View at Scopus
  3. D.-F. He, B.-C. Ding, and S.-Y. Yu, “Review of fundamental properties and topics of model predictive control for nonlinear systems,” Control Theory and Applications, vol. 30, no. 3, pp. 273–287, 2013 (Chinese). View at Publisher · View at Google Scholar · View at Scopus
  4. S. J. Qin and T. A. Badgwell, “A survey of industrial model predictive control technology,” Control Engineering Practice, vol. 11, no. 7, pp. 733–764, 2003. View at Publisher · View at Google Scholar · View at Scopus
  5. C. L. Su, J. C. Zhao, and P. Li, “Robust predictive control for a class of multiple time delay uncertain systems with nonlinear disturbance,” Acta Automatica Sinica, vol. 39, no. 5, pp. 644–649, 2013 (Chinese). View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  6. S. Y. Yu, H. Chen, P. Zhang, and X. J. Li, “An LMI optimization approach for enlarging the terminal region of MPC for nonlinear systems,” Acta Automatica Sinica, vol. 34, no. 7, pp. 798–804, 2008 (Chinese). View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  7. H. Huang, D. F. He, and L. Yu, “Robust nonlinear predictive control based on polytopic description systems,” Acta Automatica Sinica, vol. 38, no. 12, pp. 1906–1912, 2012 (Chinese). View at Google Scholar · View at MathSciNet · View at Scopus
  8. D. Li, Y. Xi, and Y. Zou, “Model predictive control for constrained uncertain piecewise linear systems,” Journal of Control Theory and Applications, vol. 11, no. 2, pp. 230–236, 2013. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  9. Y. Zou and Y. Niu, “Predictive control of constrained linear systems with multiple missing measurements,” Circuits, Systems, and Signal Processing, vol. 32, no. 2, pp. 615–630, 2013. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  10. H. Ying, “Sufficient conditions on uniform approximation of multivariate functions by general Takagi-Sugeno fuzzy systems with linear rule consequent,” IEEE Transactions on Systems, Man, and Cybernetics, vol. 28, no. 4, pp. 515–520, 1998. View at Publisher · View at Google Scholar · View at Scopus
  11. Z. Y. Xing, W. L. Hu, and L. M. Jia, “Fuzzy predictive control based on T-S model,” Control and Decision, vol. 20, no. 5, pp. 495–499, 2005 (Chinese). View at Google Scholar · View at MathSciNet
  12. Y. Li, Z. Z. Mao, F. L. Wang, and Y. Wang, “Hammerstein-Wiener nonlinear predictive control based on a piecewise Lyapunov function,” Control and Decision, vol. 26, no. 5, pp. 650–654, 2011 (Chinese). View at Google Scholar · View at MathSciNet
  13. Y. Wang, G. Rong, and S.-Q. Wang, “Nonlinear predictive control strategy based on T-S fuzzy model,” Control Theory and Applications, vol. 19, no. 4, pp. 599–603, 2002 (Chinese). View at Google Scholar
  14. Y. H. Wang, J. Hu, Y. Y. Cui, and Y. Zhang, “Stabilizing controller design for a class of nonlinear systems based on parameter identification and T-S fuzzy model,” Control and Decision, vol. 27, no. 6, pp. 919–922, 2012 (Chinese). View at Google Scholar · View at MathSciNet
  15. M. Shengwei, S. Tielong, and L. Kangzhi, Modern Robust Control Theory and Applications, Tsinghua Publishing House, 2008.
  16. J. Hu, Z. Wang, H. Dong, and H. Gao, “Recent advances on recursive filtering and sliding mode design for networked nonlinear stochastic systems: a survey,” Mathematical Problems in Engineering, vol. 2013, Article ID 646059, 12 pages, 2013. View at Publisher · View at Google Scholar · View at MathSciNet