Discrete-time hypersonic flight control based on extreme learning machine

Neurocomputing

Volumn 128, Issue , 2014, Pages 232-241

  Xu, Bin ^a,b   Pan, Yongping ^b   Wang, Danwei ^b   Sun, Fuchun ^c  

^a NORTHWESTERN POLYTECHNICAL UNIVERSITY   (China)

^b NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

^c TSINGHUA UNIVERSITY   (China)

Author keywords

Extreme learning machine; Hypersonic aircraft; Neural networks; Single hidden layer feedforward network

Indexed keywords

BACKSTEPPING DESIGN; EXTREME LEARNING MACHINE; FEED-FORWARD NETWORK; HYPERSONIC FLIGHT VEHICLES; HYPERSONIC FLIGHTS; LONGITUDINAL DYNAMICS; SEQUENTIAL LEARNING ALGORITHM; SIMULATION STUDIES;

HYPERSONIC AERODYNAMICS; HYPERSONIC VEHICLES; KNOWLEDGE ACQUISITION; LEARNING SYSTEMS; NETWORK LAYERS;

NEURAL NETWORKS;

AIRCRAFT; ALTITUDE; ARTICLE; ARTIFICIAL NEURAL NETWORK; BACK STEPPING CONTROLLER; COMPUTER SIMULATION; DIGITAL COMPUTER; DISCRETE TIME HYPERSONIC FLIGHT CONTROL; DYNAMICS; EQUIPMENT DESIGN; EXTREME LEARNING MACHINE; GENERAL DEVICE; HIDDEN LAYER FEED FORWARD NETWORK; HYPERSONIC FLIGHT VEHICLE; LEARNING ALGORITHM; LYAPUNOV SYNTHESIS APPROACH; MACHINE LEARNING; ONLINE SYSTEM; PRIORITY JOURNAL; STATISTICAL MODEL; UNCERTAINTY; VELOCITY;

EID: 84893691285     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2013.02.049     Document Type: Article

References (22)

1. Wang Q., Stengel R. Robust nonlinear control of a hypersonic aircraft. J. Guid. Control Dyn. 2000, 23(4):577-585.
2. Kokotovic P. The joy of feedback. nonlinear and adaptive: 1991 bode prize lecture. IEEE Control Syst. Mag. 1991, 12:7-17.
3. Fiorentini L., Serrani A., Bolender M., Doman D. Nonlinear robust adaptive control of flexible air-breathing hypersonic vehicles. J. Guid. Control Dyn. 2009, 32(2):401-416.
4. B. Xu, X. Huang, D. Wang, F. Sun, Dynamic surface control of constrained hypersonic flight models with parameter estimation and actuator compensation, Asian J. Control 15 (6) (2013), doi:10.1002/asjc.679.
5. Xu B., Gao D., Wang S. Adaptive neural control based on HGO for hypersonic flight vehicles. Sci. China Inf. Sci. 2011, 54(3):511-520.
6. Pan Y., Er M., Huang D., Wang Q. Adaptive fuzzy control with guaranteed convergence of optimal approximation error. IEEE Trans. Fuzzy Syst. 2011, 19(5):807-818.
7. ∞ tracking control of uncertain nonlinear systems. Neurocomputing 2013, 99(1):15-24.
8. Kanai K., Hori N., Nikiforuk P. A discrete-time multivariable model-following method applied to decoupled flight control. J. Guid. Control Dyn. 1986, 9(4):403-407.
9. Stengel R., Broussard J., Berry P. Digital controllers for VTOL aircraft. IEEE Trans. Aerosp. Electron. Syst. 1978, (1):54-63.
10. Shin D., Kim Y. Nonlinear discrete-time reconfigurable flight control law using neural networks. IEEE Trans. Control Syst. Technol. 2006, 14(3):408-422.
11. Xu B., Sun F., Yang C., Gao D., Ren J. Adaptive discrete-time controller design with neural network for hypersonic flight vehicle via back-stepping. Int. J. Control 2011, 84(9):1543-1552.
12. Xu B., Sun F., Liu H., Ren J. Adaptive Kriging controller design for hypersonic flight vehicle via back-stepping. IET Control Theory Appl. 2012, 6(4):487-497.
13. Xu B., Shi Z. Universal kriging control of hypersonic aircraft model using predictor model without back-stepping. IET Control Theory Appl. 2013, 7(4):573-583.
14. Xu B., Wang D., Sun F., Shi Z. Direct neural discrete control of hypersonic flight vehicle. Nonlinear Dyn. 2012, 70(1):269-278.
15. Huang G., Chen L. Convex incremental extreme learning machine. Neurocomputing 2007, 70(16-18):3056-3062.
16. Feng G., Huang G., Lin Q., Gay R. Error minimized extreme learning machine with growth of hidden nodes and incremental learning. IEEE Trans. Neural Netw. 2009, 20(8):1352-1357.
17. Huang G., Ding X., Zhou H. Optimization method based extreme learning machine for classification. Neurocomputing 2010, 74(1):155-163.
18. Huang G., Wang D., Lan Y. Extreme learning machines. a survey. Int. J. Mach. Learn. Cybern. 2011, 2:107-122.
19. van Heeswijk M., Miche Y., Oja E., Lendasse A. GPU-accelerated and parallelized ELM ensembles for large-scale regression. Neurocomputing 2011, 74(16):2430-2437.
20. Rong H., Suresh S., Zhao G. Stable indirect adaptive neural controller for a class of nonlinear system. Neurocomputing 2011, 74(16):2582-2590.
21. Liu Y., Wen G., Tong S. Direct adaptive NN control for a class of discrete-time nonlinear strict-feedback systems. Neurocomputing 2010, 73(13-15):2498-2505.
22. Y.P. Pan, M.J. Er, Enhanced adaptive fuzzy control with optimal approximation error convergence, IEEE Trans. Fuzzy Syst. 21 (6) (2013) 1-10.