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Mathematical Problems in Engineering
Volume 2012, Article ID 296701, 13 pages
http://dx.doi.org/10.1155/2012/296701
Research Article

D-Optimal Design for Parameter Estimation in Discrete-Time Nonlinear Dynamic Systems

1The Control Science and Engineering Department, Harbin Institute of Technology, Harbin 150001, China
2The Department of Engineering, Faculty of Engineering and Science, University of Agder, 4898 Grimstad, Norway

Received 21 June 2012; Accepted 7 August 2012

Academic Editor: Bo Shen

Copyright © 2012 Yu Liu et al. 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. G. C. Goodwin and R. L. Payne, Dynamic system identification, vol. 136, Academic Press, New York, NY, USA, 1977. View at Zentralblatt MATH
  2. B. Shen, Z. Wang, H. Shu, and G. Wei, “H filtering for nonlinear discrete-time stochastic systems with randomly varying sensor delays,” Automatica, vol. 45, no. 4, pp. 1032–1037, 2009. View at Publisher · View at Google Scholar · View at Zentralblatt MATH
  3. B. Shen, Z. Wang, and Y. S. Hung, “Distributed H-consensus filtering in sensor networks with multiple missing measurements: the finite-horizon case,” Automatica, vol. 46, no. 10, pp. 1682–1688, 2010. View at Publisher · View at Google Scholar
  4. D. Hongli, W. Zidong, and G. Huijun, “Distributed filtering for a class of time-varying systems over sensor networks with quantization errors and successive packet dropouts,” IEEE Transactions on Signal Processing, vol. 60, no. 6, pp. 3164–3173, 2012. View at Publisher · View at Google Scholar
  5. H. Dong, Z. Wang, and H. Gao, “Robust H filtering for a class of nonlinear networked systems with multiple stochastic communication delays and packet dropouts,” IEEE Transactions on Signal Processing, vol. 58, no. 4, pp. 1957–1966, 2010. View at Publisher · View at Google Scholar
  6. H. Jun, W. Zidong, G. Huijun et al., “Probability-guaranteed H-infinity finite-horizon filtering for a class of nonlinear time-varying systems with sensor saturation,” System & Control Letters, vol. 61, no. 4, pp. 477–484, 2012. View at Publisher · View at Google Scholar
  7. H. Jun, W. Zidong, G. Huijun et al., “Robust sliding mode control for discrete stochastic systems with mixed time-delays, randomly occurring uncertainties and randomly occurring nonlinearities,” IEEE Transactions on Industrial Electronics, vol. 59, no. 7, pp. 3008–3015, 2012. View at Publisher · View at Google Scholar
  8. W. Ligang, S. Xiaojie, S. Peng et al., “Model approximation for discrete-time state-delay systems in the T-S fuzzy framework,” IEEE Transactions on Fuzzy Systems, vol. 19, no. 2, pp. 366–378, 2011. View at Publisher · View at Google Scholar
  9. Q. Jianbin, F. Gang, and Y. Jie, “A novel approach to filter design for T-S fuzzy discrete-time systems with time-varying delay,” IEEE Transactions on Fuzzy Systems, vol. 17, no. 5, pp. 1044–1058, 2009. View at Publisher · View at Google Scholar
  10. Y. Rongni, G. Huijun, and S. Peng, “Novel robust stability criteria for stochastic Hopfield neural networks with time delays,” IEEE Trans on Systems, Man and Cybernetics B, vol. 39, no. 11, pp. 467–474, 2009. View at Publisher · View at Google Scholar
  11. R. K. Mehra, “Optimal input signals for parameter estimation in dynamic systems—survey and new results,” IEEE Transactions on Automatic Control, vol. 19, no. 6, pp. 753–768, 1974. View at Publisher · View at Google Scholar · View at Zentralblatt MATH
  12. V. V. Fedorov, Theory of Optimal Experiments, Academic Press, New York, NY, USA, 1972.
  13. A. Lew and H. Mauch, Dynamic Programming, A Computational Tool, Springer, 2007.
  14. D. E. Goldberg, Genetic Algorithms in Search, Optimization and Machine Learning, Addison-Wesley, Boston, Mass, USA, 1989.
  15. S. Kirkpatrick, C. D. Gelatt Jr., and M. P. Vecchi, “Optimization by simulated annealing,” Science, vol. 220, no. 4598, pp. 671–680, 1983. View at Publisher · View at Google Scholar · View at Zentralblatt MATH
  16. A. A. Zhigljavsky, Theory of Global Random Search, vol. 65, Kluwer Academic Publishers, Dordrecht, The Netherlands, 1991.
  17. E. A. Morelli and V. Klein, “Optimal input design for aircraft parameter estimation using dynamic programming principles,” in Proceedings of the AIAA Atmospheric Flight Mechanics Conference, pp. 249–259, 1990.
  18. N. Neto, E. Hemerly, and L. C. S. Goes, “Aircraft parameter estimation experiment design considering measurement colored residuals,” in Proceedings of the AIAA Atmospheric Flight Mechanics Conference, pp. 1–12, 1990.
  19. L. J. Lintereur, Optimal test trajectories for calibrating inertial systems [M.S. thesis], Massachusetts Institute of Technology, 1996.