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Complexity
Volume 2017, Article ID 6034786, 14 pages
https://doi.org/10.1155/2017/6034786
Research Article

A Novel SHLNN Based Robust Control and Tracking Method for Hypersonic Vehicle under Parameter Uncertainty

1School of Computer and Information Engineering, Luoyang Institute of Science and Technology, Luoyang 471023, China
2School of Electronics, Electrical Engineering and Computer Science, Queen’s University Belfast, Belfast BT9 5AH, UK
3Beijing Aerospace Automation Control Institute, Beijing 100854, China
4Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong 518055, China
5School of Automation, Huazhong University of Science and Technology, Wuhan 430074, China

Correspondence should be addressed to Zhile Yang; ku.ca.buq@70gnayz

Received 6 July 2017; Accepted 11 September 2017; Published 17 October 2017

Academic Editor: Guang Li

Copyright © 2017 Chuanfeng Li 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. R. A. Hess, “Frequency domain-based pseudosliding mode flight control design,” Journal of Aircraft, vol. 49, no. 6, pp. 2077–2088, 2012. View at Publisher · View at Google Scholar · View at Scopus
  2. H. Sun, S. Li, and C. Sun, “Finite time integral sliding mode control of hypersonic vehicles,” Nonlinear Dynamics, vol. 73, no. 1-2, pp. 229–244, 2013. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  3. D. Liu, C. Wu, Q. Zhou, and H.-K. Lam, “Fuzzy guaranteed cost output tracking control for fuzzy discrete-time systems with different premise variables,” Complexity, vol. 21, no. 5, pp. 265–276, 2016. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  4. Z. Jin, J. Chen, Y. Sheng, and X. Liu, “Neural network based adaptive fuzzy PID-type sliding mode attitude control for a reentry vehicle,” International Journal of Control, Automation, and Systems, vol. 15, no. 1, pp. 404–415, 2017. View at Publisher · View at Google Scholar · View at Scopus
  5. Y. Hou and S. Tong, “Adaptive fuzzy backstepping control for a class of MIMO switched nonlinear systems with unknown control directions,” Complexity, vol. 21, no. 6, pp. 155–166, 2016. View at Publisher · View at Google Scholar · View at MathSciNet
  6. J. Na, G. Herrmann, and K. Zhang, “Improving transient performance of adaptive control via a modified reference model and novel adaption,” International Journal of Robust and Nonlinear Control, vol. 27, no. 8, pp. 1351–1372, 2017. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  7. D. D. Donalson and C. T. Leondes, “A model referenced parameter tracking technique for adaptive control systems: i—the principle of adaptation,” IEEE Transactions on Applications and Industry, vol. 82, no. 68, pp. 241–252, 1963. View at Publisher · View at Google Scholar · View at Scopus
  8. S. S. Dunn and R. Edelmann, “Minimum power spacecraft attitude control laws for small constant disturbance torques,” IEEE Transactions on Automatic Control, vol. 13, no. 6, pp. 691–694, 1968. View at Publisher · View at Google Scholar · View at Scopus
  9. G. Kreisselmeier and B. D. Anderson, “Robust model reference adaptive control,” Institute of Electrical and Electronics Engineers Transactions on Automatic Control, vol. 31, no. 2, pp. 127–133, 1986. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  10. L. Giovanini, “Robust adaptive control using multiple models, switching and tuning,” IET Control Theory and Applications, vol. 5, no. 18, pp. 2168–2178, 2011. View at Publisher · View at Google Scholar · View at MathSciNet
  11. Z. Pu, R. Yuan, X. Tan, and J. Yi, “Active robust control of uncertainty and flexibility suppression for air-breathing hypersonic vehicles,” Aerospace Science and Technology, vol. 42, pp. 429–441, 2015. View at Publisher · View at Google Scholar · View at Scopus
  12. J. Na, X. Ren, and D. Zheng, “Adaptive control for nonlinear pure-feedback systems with high-order sliding mode observer,” IEEE Transactions on Neural Networks and Learning Systems, vol. 24, no. 3, pp. 370–382, 2013. View at Publisher · View at Google Scholar · View at Scopus
  13. C. Peng, J. Zhang, and Y. C. Yan, “Adaptive event-triggering H inf load frequency control for network-based power systems,” IEEE Transactions on Industrial Electronics, no. 99, 2017. View at Publisher · View at Google Scholar
  14. R. Matušů and R. Prokop, “Computation of robustly stabilizing PID controllers for interval systems,” SpringerPlus, vol. 5, no. 1, article no. 702, 2016. View at Publisher · View at Google Scholar · View at Scopus
  15. E. Gershon, “Robust Reduced-order H-infinity Output-Feedback Control of Retarded Stochastic Linear Systems,” IEEE Transactions on Automatic Control, vol. 58, no. 11, pp. 2898–2904, 2013. View at Publisher · View at Google Scholar · View at MathSciNet
  16. L. Liu, S. Dong, Y. Wang, and L. Ou, “Clearance of flight control law based on structural singular value theory,” IEEE Transactions on Aerospace and Electronic Systems, vol. 51, no. 3, pp. 2138–2147, 2015. View at Publisher · View at Google Scholar · View at Scopus
  17. C. F. Li, Z. X. Ye, Y. J. Wang, and L. Liu, “Design of attitude decoupling control system for BTT missile using quantitative feedback theory,” in Proceedings of the 2010 International Conference on Modelling, 2010.
  18. L. Denis-Vidal, C. Jauberthie, and G. Joly-Blanchard, “Identifiability of a nonlinear delayed-differential aerospace model,” Institute of Electrical and Electronics Engineers Transactions on Automatic Control, vol. 51, no. 1, pp. 154–158, 2006. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  19. Y. Yuan, Y. Hu, and F. Sun, “Mixed H2/H∞ control using a fuzzy singularly perturbed model with multiple perturbation parameters for gust load alleviation,” Tsinghua Science and Technology, vol. 16, no. 4, pp. 344–351, 2011. View at Publisher · View at Google Scholar · View at Scopus
  20. S. Das and K. Halder, “Missile attitude control via a hybrid LQG-LTR-LQI control scheme with optimum weight selection,” in Proceedings of the 1st International Conference on Automation, Control, Energy and Systems, ACES '14, pp. 1–6, February 2014. View at Publisher · View at Google Scholar · View at Scopus
  21. S. S. L. Chang and T. K. C. Peng, “Adaptive guaranteed cost control of systems with uncertain parameters,” IEEE Transactions on Automatic Control, vol. 17, no. 4, pp. 474–483, 1972. View at Publisher · View at Google Scholar · View at Scopus
  22. H. Li, Y. Si, L. Wu, X. Hu, and H. Gao, “Guaranteed cost control with poles assignment for a flexible air-breathing hypersonic vehicle,” International Journal of Systems Science, vol. 42, no. 5, pp. 863–876, 2011. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  23. Z. Deng, Y. Wang, L. Liu, and Q. Zhu, “Guaranteed cost decoupling control of bank-to-turn vehicle,” IET Control Theory & Applications, vol. 4, no. 9, pp. 1594–1604, 2010. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  24. E. Gyurkovics, “Guaranteed cost control of discrete-time uncertain systems with both state and input delays,” International Journal of Control, vol. 89, no. 10, pp. 2073–2082, 2016. View at Publisher · View at Google Scholar · View at MathSciNet
  25. Z. Xu, X. Nian, H. Wang, and Y. Chen, “Robust guaranteed cost tracking control of quadrotor UAV with uncertainties,” ISA Transactions®, vol. 69, pp. 157–165, 2017. View at Publisher · View at Google Scholar · View at Scopus
  26. L. Hu, F. Chen, B. Jiang, and G. Tao, “Control strategy for a quadrotor helicopter with state delay via improved guaranteed cost control and quantum adaptive control,” Journal of Aerospace Engineering, vol. 30, no. 4, 2017. View at Publisher · View at Google Scholar
  27. H.-N. Wu, M.-M. Li, and L. Guo, “Finite-horizon approximate optimal guaranteed cost control of uncertain nonlinear systems with application to Mars entry guidance,” IEEE Transactions on Neural Networks and Learning Systems, vol. 26, no. 7, pp. 1456–1467, 2015. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  28. N. Sakthivel, R. Rakkiyappan, and J. H. Park, “Non-fragile synchronization control for complex networks with additive time-varying delays,” Complexity, vol. 21, no. 1, pp. 296–321, 2015. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  29. A. Tandon and A. Dhawan, “Non-fragile robust optimal guaranteed cost control of uncertain 2-D discrete state-delayed systems,” International Journal of Systems Science, vol. 47, no. 14, pp. 3303–3319, 2016. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  30. Y. Kong, D. Zhao, B. Yang, C. Han, and K. Han, “Robust non-fragile H-infinity/L-2-L-infinity control of uncertain linear system with time-delay and application to vehicle active suspension,” International Journal of Robust and Nonlinear Control, vol. 25, no. 13, pp. 2122–2141, 2015. View at Publisher · View at Google Scholar
  31. S. X. Guo, “Robust reliability method for non-fragile guaranteed cost control of parametric uncertain systems,” Systems and Control Letters, vol. 64, pp. 27–35, 2014. View at Publisher · View at Google Scholar · View at MathSciNet
  32. P. Sun and S. Wang, “Redundant input guaranteed cost non-fragile tracking control for omnidirectional rehabilitative training walker,” International Journal of Control, Automation, and Systems, vol. 13, no. 2, pp. 454–462, 2015. View at Publisher · View at Google Scholar · View at Scopus
  33. L. Yu, Robust Control-Linear Matrix Inequality Method, Tsinghua University Press, Beijing, China, 2002.
  34. C. F. Li, L. Liu, Y. J. Wang, and Z. S. Wang, “Design of robust h-infinity control law via lmi for lifting vehicle,” Information-an International Interdisciplinary Journal, vol. 15, no. 1, pp. 149–156, 2012. View at Google Scholar
  35. C. Peng and J. Zhang, “Delay-distribution-dependent load frequency control of power systems with probabilistic interval delays,” IEEE Transactions on Power Systems, vol. 31, no. 4, pp. 3309–3317, 2016. View at Publisher · View at Google Scholar · View at Scopus
  36. J. Na, Q. Chen, X. Ren, and Y. Guo, “Adaptive prescribed performance motion control of servo mechanisms with friction compensation,” IEEE Transactions on Industrial Electronics, vol. 61, no. 1, pp. 486–494, 2014. View at Publisher · View at Google Scholar · View at Scopus
  37. C. Yang, Y. Jiang, Z. Li, W. He, and C.-Y. Su, “Neural control of bimanual robots with guaranteed global stability and motion precision,” IEEE Transactions on Industrial Informatics, 2017. View at Publisher · View at Google Scholar
  38. G. Li, “Nonlinear model predictive control of a wave energy converter based on differential flatness parameterisation,” International Journal of Control, vol. 90, no. 1, pp. 68–77, 2017. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus