Direct adaptive control: An echo state network and genetic algorithm approach

Proceedings of the International Joint Conference on Neural Networks

Volumn 3, Issue , 2005, Pages 1483-1486

  Xu, Dongming ^a   Lan, Jing ^a   Principe, José C ^a  

^a UNIVERSITY OF FLORIDA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL EFFICIENCY; ECHO STATE NETWORK (ESN); NONLINEAR DYNAMICAL SYSTEMS;

COMPUTER SIMULATION; CONTROL EQUIPMENT; GENETIC ALGORITHMS; IDENTIFICATION (CONTROL SYSTEMS); NEURAL NETWORKS; NONLINEAR SYSTEMS;

ADAPTIVE CONTROL SYSTEMS;

EID: 33750106682     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.2005.1556095     Document Type: Conference Paper

References (11)

1. K. S. Narendra, and K. Parthasarathy, "Identification and Control of Dynamical Systems Using Neural Networks," IEEE Journal on Neural Networks, vol. 1, no. 1, pp. 698-706, March 1990.
2. K. S. Narendra, C. Xiang, "Adaptive Control of Discrete-Time Systems Using Multiple Models," IEEE Journal on Automatic Control, vol. 45, no. 9, pp. 1669-1686, 2000.
3. J.-S.R. Jang, C.-T. Sun, "Neuro-fuzzy modeling and control," Proceedings of the IEEE, vol. 83, no. 3, pp. 378-406, 1995.
4. J. Lan, J. Cho, D. Erdogmus, J.C. Principe, M.A. Motter, J. Xu Local Linear PID Ccontrollers for Nonlinear Control, International Journal of Control and Intelligent Systems.
5. Y. Ichikawa, T. Sawa, "Neural Network Application for Direct Feedback Controllers," IEEE Transactions on Neural Networks, vol. 3, no. 2, pp. 224-231, March 1992.
6. H. Jaeger The "echo state" approach to analysing and training recurrent neural networks. Technical report GMD report 148, German National Research Center for Information Technology, 2001. http://www.faculty.iu-bremen. de/hjaeger/pubs.html
7. H. Jaeger Short term memory in echo state networks. Technical report GMD report 152, German National Research Center for Information Technology, 2001. http://www.faculty.iu-bremen.de/hjaeger/pubs.html
8. Y.N. Rao, S.P. Kim, J.C. Sanchez, D. Erdogmus, J.C. Principe, J.M. Carmena, M.A. Lebedev, M.A. Nicolelis, Learning Mapping in Brain Machine Interfaces with Echo State Networks. ICASSP, 2005. Accepted.
9. M.C. Ozturk, D. Xu, J.C. Principe, Analysis and Design of Echo State Networks for Function Approximation Neural Computation, 2005. Submitted.
10. D.B. Fogel, "An introduction to simulated evolutionary optimization," IEEE Transactions on Neural Networks, vol. 5, no. 1, pp. 3-14, January 1994.
11. X. Ni, M. Verhaegen, A.J. Krijgsman, H.B. Verbruggen, New Method for Identification and Control of Nonlinear Dynamic Systems, Engineering Applications of Artificial Intelligence, 9(3), 231-243, 1996.