Adaptive critic autopilot design of bank-to-turn missiles using fuzzy basis function networks

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics

Volumn 35, Issue 2, 2005, Pages 197-207

  Lin, Chuan Kai ^a  

^a Chinese Naval Academy Kaohsiung   (Taiwan)

Author keywords

Adaptive critic design; Adaptive robust control; Bank to turn missiles; Fuzzy basis function networks; Reinforcement learning

Indexed keywords

ADAPTIVE CONTROL SYSTEMS; COMPUTER SIMULATION; CONTROL SYSTEM SYNTHESIS; FUZZY CONTROL; LEARNING SYSTEMS; LYAPUNOV METHODS; MISSILES; RADIAL BASIS FUNCTION NETWORKS; ROBUSTNESS (CONTROL SYSTEMS); SYSTEM STABILITY;

ADAPTIVE CRITIC AUTOPILOT DESIGN; BANK-TO-TURN MISSILES; REINFORCEMENT LEARNING;

ELECTRONIC GUIDANCE SYSTEMS;

EID: 17444370917     PISSN: 10834419     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSMCB.2004.842246     Document Type: Article

References (25)

1. S.-Y. Lee, J.-I. Lee, and I.-J. Ha, "Nonlinear autopilot for high maneuverability of bank-to-turn missiles," IEEE Trans. Aerosp. Electron. Syst., vol. 37, no. 4, pp. 1236-1253, Oct. 2001.
2. K.-Y. Lian, L.-C. Fu, D.-M. Chuang, and T.-S. Kuo, "Adaptive robust autopilot design for bank-to-turn aircraft," in Proc. American Control. Conf., 1993, pp. 1746-1750.
3. J. Huang and C. F. Lin, "Application of sliding mode control to bank-to-turn missile systems," in Proc. 1st IEEE Regional Conf. Aerospace Control Systems, 1993, pp. 569-573.
4. L. H. Carter and J. S. Shamma, "Gain-schedule bank-to-turn autopilot design using linear parameter varying transform," J. Guid., Contr., Dynam., vol. 19, no. 5, pp. 1056-1063, 1996.
5. ∞ controller design for bank-to-turn missiles using ridge gaussian neural networks," IEEE Trans. Neural Netw., vol. 15, no. 6, pp. 1507-1516, Nov. 2004.
6. ∞ control to autopilot design," in Proc. IEEE Conf. Decision and Contol., 1996, pp. 1359-1364.
7. D. M. McDowell, G. W. Irwin, G. Lightbody, and G. McConnell, "Hybrid neural adaptive control for bank-to-turn missiles," IEEE Trans. Contr. Syst. Technol., Vol. 5, no. 3, pp. 297-308, May 1997.
8. L.-C. Fu, W.-D. Chang, J.-H. Yang, and T.-S. Kuo, "Adaptive robust bank-to-turn missile autopilot design using neural networks," J. Guid., Contr., Dynam., vol. 20, no. 2, pp. 346-354, 1997.
9. Z. Youan, Y. Huadong, and H. Yunan, "Robust nonlinear control for bank-to-turn missile," in Proc. 4th World Congr. Intelligent Control and Automation, 2002, pp. 2973-2977.
10. M. C. Mickle and J. J. Zhu, "Bank-to-turn roll-yaw-pitch autopilot design using dynamic nonlinear inversion and PD-eigenvalue assignment," in Proc. American Control Conf., 2000, pp. 1359-1364.
11. C.-K. Lin and S.-D. Wang, "A self organizing fuzzy control approach for bank-to-turn missiles," Fuzzy Sets Syst., vol. 96, no. 3, pp. 281-306, 1998.
12. M. B. McFarland and A. J. Calise, "Adaptive nonlinear control of agile antiair missiles using neural networks," IEEE Trans. Contr. Syst. Technol., vol. 8, no. 5, pp. 749-756, Sep. 2000.
13. G. Lightbody and G. W. Irwin, "Neural model reference adaptive control and application to a BTT-CLOS guidance system," in Proc. Int. Joint Conf. Neural Networks, 1994, pp. 2429-2435.
14. D. Han and S. N. Balakrishnan, "State-constrained agile missile control with adaptive-critic-based neural networks," IEEE Trans. Contr. Syst. Technol., vol. 10, no. 4, pp. 481-489, Jul. 2002.
15. A. G. Barto, R. S. Sutton, and W. Anderson, "Neuronlike adaptive elements can solve difficult learning control problems," IEEE Trans. Syst., Man, Cybern., vol. SMC-13, no. 5, pp. 834-846, Sep. /Oct. 1983.
16. D. V. Prokhorov and D. C. Wunsch, "Adaptive critic designs," IEEE Trans. Neural Netw., vol. 8, no. 5, pp. 997-1007, Sep. 1997.
17. P. J. Werbos, "Consistency of HDP applied to a simple reinforcement learning problem," Neural Netw., vol. 3, no. 2, pp. 179-189, 1990.
18. S. Jagannathan and G. Galan, "Adaptive critic neural network-based object grasping control using a three-finger gripper," IEEE Trans. Neural Netw., vol. 15, no. 2, pp. 395-407, Mar. 2004.
19. O. Kuljaca and F. L. Lewis, "Adaptive critic design using nonlinear network structures," Int. J. Adapt. Contr. Signal Process., vol. 17, no. 6, pp. 431-445, 2003.
20. Y. H. Kim and F. L. Lewis, "Reinforcement adaptive learning neural-net-based friction compensation control for high speed and precision," IEEE Trans. Contr. Syst. Technol., vol. 8, no. 1, pp. 118-126, Jan. 2000.
21. C.-K. Lin, "A reinforcement learning adaptive fuzzy controller for robots," Fuzzy Sets Syst., vol. 137, no. 3, pp. 339-352, 2003.
22. J. Nie and D. A. Linkens, "Learning control using fuzzified self-organizing radial basis function network," IEEE Trans. Fuzzy Syst., vol. 1, no. 1, pp. 280-287, 1993.
23. L. X. Wang and J. M. Mendel, "Fuzzy basis functions, universal approximation, and orthogonal least-squares learning," IEEE Trans. Neural Netw., vol. 3, no. 5, pp. 807-814, Sep. 1992.
24. R. M. Sanner and J.-J. E. Slotine, "Gaussian networks for direct adaptive control," IEEE Trans. Neural Netw., vol. 3, no. 6, pp. 837-863, Nov. 1992.
25. P. J. Werbos, "Backpropagation through time: What it is and how to do it," Proc. IEEE, vol. 78, no. 10, pp. 1550-1560, Oct. 1990.