Recurrent fuzzy neural network adaptive hybrid control for linearized multivariable systems

Journal of Intelligent and Fuzzy Systems

Volumn 17, Issue 5, 2006, Pages 479-491

  Lin, C M ^a   Chen, C H ^a   Lee, Y F ^a  

^a YUAN ZE UNIVERSITY   (Taiwan)

Author keywords

Adaptive control; F 16 aircraft; Recurrent fuzzy neural network

Indexed keywords

ADAPTIVE CONTROL SYSTEMS; COMPUTER SIMULATION; FEEDBACK CONTROL; FUZZY SETS; LINEAR SYSTEMS; LYAPUNOV METHODS; MULTIVARIABLE CONTROL SYSTEMS;

ADAPTIVE CONTROL; F-16 AIRCRAFT; HYBRID CONTROL; MULTI-INPUT MULTI-OUTPUT (MIMO); RECURRENT FUZZY NEURAL NETWORK;

NEURAL NETWORKS;

EID: 33845545854     PISSN: 10641246     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (20)

1. M. Zhihong, H.R. Wu and M. Palaniswami, An adaptive tracking controller using neural networks for a class of nonlinear systems, IEEE Trans. on Neural Networks 9 (1998), 947-1031.
2. S.S. Ge, C.C. Hang and T. Zhang, Adaptive neural network control of nonlinear systems by state and output feedback, IEEE Trans. on Syst. Man Cybern. B 9 (1999), 818-828.
3. C.M. Lin and C.F. Hsu, Neural network based adaptive control for induction servomotor drive system. IEEE Trans. on Ind. Electron. 49 (2002), 115-123.
4. C.M. Lin and C.F. Hsu, Neural network hybrid control for antilock braking systems, IEEE Trans. on Neural Networks 14 (2002), 115-123.
5. C.T. Lin and C.S.G. Lee, Neural Fuzzy Systems: A Neural-Fuzzy Synergism to Intelligent Systems, Prentice-Hall, Englewood Cliffs, NJ, 1996.
6. C.H. Wang, T.C. Lin, T.T. Lee and H.L. Liu, Adaptive hybrid intelligent control for uncertain nonlinear dynamical systems, IEEE Trans. on Syst Man Cybern B32 (2002), 583-597.
7. P.A. Mastorocostas and J.B. Theocharis, A recurrent fuzzy-neural model for dynamic system identification. IEEE Trans. on Syst. Man Cybern. B 32 (2002), 176-190.
8. C.M. Lin and C.F. Hsu, Recurrent neural network adaptive control of wing-rock motion, J. Guidance Control Dynam. 25 (2002), 1163-1165.
9. C.H. Lee and C.C. Teng, Identification and control of dynamic systems using recurrent fuzzy neural networks, IEEE Trans. on Fuzzy Syst. 8 (2000), 349-366.
10. S.C. Sivakumar, W. Robertson and W.J. Philips, On-line stabilization of block-diagonal recurrent neural networks, IEEE Trans. on Neural Networks 10 (1999), 167-175.
11. R. Ordonez and K.M. Passino, Stable multi-input multi-output adaptive fuzzy/neural control, IEEE Trans. on Fuzzy Syst. 7 (1999), 345-353.
12. N. Golea, A. Golea and K. Benmahammed, Fuzzy model reference adaptive control, IEEE Trans. on Fuzzy Syst. 10 (2002), 436-444.
13. W.S. Lin and C.S. Chen, Robust adaptive sliding mode control using fuzzy modeling for a class of uncertain MIMO nonlinear systems, IEE Proc. Control Theory Appl. 149 (2002), 193-201.
14. C.M. Lin and Y. J. Mon, Hybrid adaptive fuzzy controllers with application to robotic system, Fuzzy Sets and Systems 139 (2003), 151-165.
15. K.S. Narendra and S. Mukhopadhyay, Adaptive control using neural networks and approximate models, IEEE Trans. on Neural Networks 8 (1997), 475-485.
16. Y. Li, N. Sundararajan and P. Saratchandran, Stable neuro-flight- controller using fully tuned radial basis function neural networks, J. Guidance Control Dynam. 24 (2001), 665-674.
17. Y. Gao and M.J. Er, Adaptive intelligent control of MIMO nonlinear systems based on generalized fuzzy neural network, International Joint Conference of Neural Networks 3 (2002), 2333-2338.
18. L.X. Wang, Adaptive Fuzzy Systems and Control: Design and Stability Analysis, Prentice-Hall, NJ, 1994.
19. J.J.E. Slotine and W. Li, Applied Nonlinear Control, Prentice-Hall, Englewood Cliffs, NJ, 1991.
20. D. Kim and Y. Kim, Robust variable structure controller design for fault tolerant flight control, J. Guidance Control Dynam. 23 (2000), 430-437.