Neural Networks for Control

作者: E. D. Sontag

DOI: 10.1007/978-1-4612-0313-1_10

关键词:

摘要: This paper starts by placing neural net techniques in a general nonlinear control framework. After that, several basic theoretical results on networks are surveyed.

参考文章(34)
Hava T. Siegelmann, Eduardo Sontag, Some results on computing with `neural nets ,(1992)
Eduardo D. Sontag, Francesca Albertini, Vincent Maillot, UNIQUENESS OF WEIGHTS FOR NEURAL NETWORKS ,(1993)
J.-J. E. Slotine, R. M. Sanner, Neural Networks for Adaptive Control and Recursive Identification: A Theoretical Framework Birkhäuser, Boston, MA. pp. 381- 436 ,(1993) , 10.1007/978-1-4612-0313-1_11
Sholom M. Weiss, Computer systems that learn ,(1990)
J.A. Franklin, Historical perspective and state of the art in connectionist learning control conference on decision and control. pp. 1730- 1736 ,(1989) , 10.1109/CDC.1989.70447
K.J. Hunt, D. Sbarbaro, R. Żbikowski, P.J. Gawthrop, Neural networks for control systems: a survey Automatica. ,vol. 28, pp. 1083- 1112 ,(1992) , 10.1016/0005-1098(92)90053-I
Carroll, Dickinson, Construction of neural nets using the radon transform international joint conference on neural network. pp. 607- 611 ,(1989) , 10.1109/IJCNN.1989.118639
Andrew G. Barto, Connectionist learning for control: an overview Neural networks for control. pp. 5- 58 ,(1990)