Nonlinear stable adaptive control based upon Elman networks

Applied Mathematics

Volumn 15, Issue 3, 2000, Pages 332-340

  Li, Xiang ^a   Chen, Zengqiang ^a   Yuan, Zhuzhi ^a  

^a NANKAI UNIVERSITY   (China)

Author keywords

Adaptive control; Closed loop property; Elman networks; Nonlinear control; Passivity; Simple recurrent neural networks

Indexed keywords

EID: 84979085873     PISSN: 10051031     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11766-000-0058-8     Document Type: Article

References (13)

1. Narendra, K. S., Neural networks for control: Theory and practice, Proceeding of the IEEE, 1996,84 (10):1385-1406.
2. Rovithakis, George A., Christodoulou, Manolis A., Adaptive control of unknown plants using dynamical neural networks, IEEE Trans. Systems Man. Cybernet., 1994,24 (3):400-411.
3. Wang Yaonan, A kind of dynamical recurrent neural networks-based intelligent control, Control and Decision, 1995, 10(6): 508-513.
4. Ku Chao-Chee, Lee, Kwang Y., Diagonal recurrent neural networks for dynamic systems control, IEEE Trans. Neural Networks, 1995,6 (1): 144-156.
5. Elman, J.L., Finding structure in time, Cognitive Science, 1990, 14:179-211.
6. Pham, D.T., Liu, X., Training of Elman network and dynamic system modelling, Internet J. Systems Sci. 1996,27(2):221-226.
7. Sperduti Alessandro, On the computational power of recurrent neural networks for structures, Nerual Networks, 1997,10 (3):395-400.
8. Wang Deliang, Liu Xiaomei, Ahalt, Stanley C., On temporal generalization of simple recurrent networks, Neural Networks, 1996,9 (7): 1099-1118.
9. Li Xiang, Chen Zengqiang, Yuan Zhuzhi, An extended Elman networks-based nonlinear self-tuning controller, Automieal Instrument, 1999,20 (12): 17-20.
10. Jagannathan Sarangapani, Lewis, Frank L., Multilayer discrete-time neural net controller with guaranteed performance, IEEE Trans. Neural Networks, 1996,7 (1): 107-130.
11. Barron, Andrew R., Universal approximation bounds for superpositions of a sigmoidal function, IEEE Trans. Inform. Theory, 1993,39(3): 930-945.
12. n) by multilayer feedforward networks and related problems, IEEE Trans. Neural Networks, 1995,6 (1):25-30.
13. Goodwin, G. C., Sin, K.S., Adaptive Filtering, Prediction and Control, Fnglewood Cliffs, NJ. Prentice- Hall, 1984.