Autolanding Control Using Recurrent Wavelet Elman Neural Network

IEEE Transactions on Systems, Man, and Cybernetics: Systems

Volumn 45, Issue 9, 2015, Pages 1281-1291

  Lin, Chih Min ^a   Boldbaatar, Enkh Amgalan ^a  

^a YUAN ZE UNIVERSITY   (Taiwan)

Author keywords

Autolanding control; Elman neural network (ENN); optimal learning rate

Indexed keywords

FLIGHT CONTROL SYSTEMS; GRADIENT METHODS; OPTIMIZATION; SYSTEM STABILITY;

AUTO-LANDING; COMMERCIAL AIRCRAFT; ELMAN NEURAL NETWORK; ELMAN NEURAL NETWORKS (ENN); GRADIENT DESCENT METHOD; LEARNING RATES; LYAPUNOV THEOREMS; REAL-TIME LEARNING;

RECURRENT NEURAL NETWORKS;

EID: 84939864892     PISSN: 21682216     EISSN: 21682232     Source Type: Journal    
DOI: 10.1109/TSMC.2015.2389752     Document Type: Article

References (32)

1. J. G. Juang, H. K. Chiou, and L. H. Chien, "Analysis and comparison of aircraft landing control using recurrent neural networks and genetic algorithms approaches, " Neurocomputing, vol. 71, nos. 16-18, pp. 3224-3238, Oct. 2008.
2. J. G. Juang and K. C. Cheng, "Application of neural networks to disturbances encountered landing control, " IEEE Trans. Intell. Transp. Syst., vol. 7, no. 4, pp. 582-588, Dec. 2006.
3. S. M. B. Malaek, N. Sadati, H. Izadi, and M. Pakmehr, "Intelligent autolanding controller design using neural networks and fuzzy logic, " in Proc. 5th Asian Control Conf., vol. 1. Melbourne, VIC, Australia, 2004, pp. 365-373.
4. ∞ controller design for aircraft auto-landing, " IEEE Trans. Aerosp. Electron. Syst., vol. 40, no. 1, pp. 158-167, Jan. 2004.
5. C. C. Jorgensen and C. Schley, "A neural network baseline problem for control of aircraft flare and touchdown, " in Neural Network for Control. Cambridge, MA, USA: MIT Press, 1991.
6. J. G. Juang, L. H. Chien, and F. Lin, "Automatic landing control system design using adaptive neural network and its hardware realization, " IEEE Syst. J., vol. 5, no. 2, pp. 266-277, Jun. 2011.
7. G. Saini and S. N. Balakrishnan, "Adaptive critic based neurocontroller for autolanding of aircrafts, " in Proc. Amer. Control Conf., vol. 2. Albuquerque, NM, USA, 1997, pp. 1081-1085.
8. D. V. Prokhorov, R. A. Santiago, and D. C. Wunsch, II, "Adaptive critic designs: A case study for neurocontrol, " Neural Netw., vol. 8, no. 9, pp. 1367-1372, 1995.
9. D. V. Prokhorov and D. C. Wunsch, II, "Adaptive critic designs, " IEEE Trans. Neural Netw., vol. 8, no. 5, pp. 997-1007, Sep. 1997.
10. H. Izadi, M. Pakmehr, and M. M. Moghaddam, "Designing autoland-ing neuro-controller using PID and optimal strategies, " in Proc. IEEE Aerosp. Conf., Big Sky, MT, USA, 2005, pp. 1-10.
11. H. Izadi, M. Pakmehr, and N. Sadati, "Optimal neuro-controller in longitudinal autolanding of a commercial jet transport, " in Proc. IEEE Int. Conf. Control Appl., vol. 1. Istanbul, Turkey, 2003, pp. 492-497.
12. H. S. Ju and C. C. Tsai, "Glide path command generation and tracking for longitudinal autolanding, " in Proc. 17th World Congr. Int. Fed. Autom. Control, Seoul, Korea, 2008, pp. 1093-1098.
13. H. S. Ju and C. C. Tsai, "Longitudinal auto-landing controller design via adaptive backstepping, " Int. J. Adapt. Control Signal Process., vol. 23, no. 7, pp. 640-666, Jul. 2009.
14. D. C. Dracopoulos, "Genetic evolution of controllers for challenging control problems, " J. Comput. Methods Sci. Eng., vol. 11, no. 4, pp. 227-242, Sep. 2011.
15. R. Lungu, M. Lungu, and L. T. Grigorie, "Automatic control of aircraft in longitudinal plane during landing, " IEEE Trans. Aerosp. Electron. Syst., vol. 49, no. 2, pp. 1338-1350, Apr. 2013.
16. D. M. K. K. Venkateswara Rao and T. H. Go, "Automatic landing system using sliding mode control, " Aerosp. Sci. Technol., vol. 32, no. 1, pp. 180-187, Jan. 2014.
17. H. S. Choi, S. Lee, J. Lee, E. T. Kim, and H. Shim, "Aircraft longitudinal auto-landing guidance law using time delay control scheme, " Trans. Jpn. Soc. Aeronaut. Space Sci., vol. 53, no. 181, pp. 207-214, Jan. 2010.
18. T. Wagner and J. Valasek, "Digital autoland control laws using quantitative feedback theory and direct digital design, " J. Guid. Control Dynam., vol. 30, no. 5, pp. 1399-1413, 2007.
19. A. Kato and Y. Inagaki, "Control law for automatic landing using fuzzy-logic control, " Trans. Jpn. Soc. Aeronaut. Space Sci., vol. 50, no. 170, pp. 274-283, 2007.
20. R. Akmeliawati and I. M. Y. Mareels, "Nonlinear energy-based control method for aircraft automatic landing systems, " IEEE Trans. Control Syst. Technol., vol. 18, no. 4, pp. 871-884, Jul. 2010.
21. B. S. Park, J. B. Park, and Y. H. Choi, "Adaptive formation control of electrically driven nonholonomic mobile robots with limited information, " IEEE Trans. Syst. Man, Cybern. B, Cybern., vol. 41, no. 4, pp. 1061-1075, Aug. 2011.
22. P. P. San, S. H. Ling, and H. N. Nuryani, "Evolvable rough-block-based neural network and its biomedical application to hypoglycemia detection system, " IEEE Trans. Cybern., vol. 44, no. 8, pp. 1338-1349, Aug. 2014.
23. C. M. Lin, C. F. Tai, and C. C. Chung, "Intelligent control system design for UAV using a recurrent wavelet neural network, " Neural Comput. Appl., vol. 24, no. 2, pp. 487-496, Feb. 2014.
24. F. J. Lin, L. T. Teng, and H. Chu, "A robust recurrent wavelet neural network controller with improved particle swarm optimization for linear synchronous motor drive, " IEEE Trans. Power Electron., vol. 23, no. 6, pp. 3067-3078, Nov. 2008.
25. R. J. Wai, "Development of new training algorithms for neuro-wavelet systems on the control of induction servo motor drive, " IEEE Trans. Ind. Electron., vol. 49, no. 6, pp. 1323-1341, Dec. 2002.
26. F. J. Lin, S. Y. Chen, and K. K. Shyu, "Robust dynamic sliding-mode control using adaptive RENN for magnetic levitation system, " IEEE Trans. Neural Netw., vol. 20, no. 6, pp. 938-951, Jun. 2009.
27. W. M. Lin, C. M. Hong, C. H. Huang, and T. C. Ou, "Hybrid control of a wind induction generator based on Grey-Elman neural network, " IEEE Trans. Control Syst. Technol., vol. 21, no. 6, pp. 2367-2373, Nov. 2013.
28. S. Anbazhagan and N. Kumarappan, "Day-ahead deregulated electricity market price forecasting using recurrent neural network, " IEEE Syst. J., vol. 7, no. 4, pp. 866-872, Dec. 2013.
29. S. Wen, W. Zheng, J. Zhu, X. Li, and S. Chen, "Elman fuzzy adaptive control for obstacle avoidance of mobile robots using hybrid force/position incorporation, " IEEE Trans. Syst., Man, Cybern. C, Appl. Rev., vol. 42, no. 4, pp. 603-608, Jul. 2012.
30. X. Gao, D. You, and S. Katayama, "Seam tracking monitoring based on adaptive Kalman filter embedded Elman neural network during high power fiber laser welding, " IEEE Trans. Ind. Electron., vol. 59, no. 11, pp. 4315-4325, Nov. 2012.
31. Q. Song, "On the weight convergence of Elman networks, " IEEE Trans. Neural Netw., vol. 21, no. 3, pp. 463-480, Mar. 2010.
32. J. G. Juang and H. K. Chiou, "Hybrid RNN-GA controller for ALS in wind shear condition, " in Proc. IEEE Int. Conf. Syst. Man Cybern., Taipei, Taiwan, 2006, pp. 675-680.