Neural networks for control and system identification

A review is presented of the field of neuroengineering as a whole, highlighting the importance of neurocontrol and neuroidentification. Then a description is given of the five major architectures in use today in neurocontrol (in robotics, in particular) and a few areas for future research. The author concludes with comments on neuroidentification.<<ETX>>

[1]  Juan García Laguna.  Sobre un cono convexo asociado a un grafo , 1984 .

[2]  J. L. Hemmen,et al.  Nonlinear neural networks. , 1986, Physical review letters.

[3]  J. Hopfield,et al.  Computing with neural circuits: a model. , 1986, Science.

[4]  Stephen Grossberg,et al.  Nonlinear neural networks: Principles, mechanisms, and architectures , 1988, Neural Networks.

[5]  P. J. Werbos,et al.  Backpropagation: past and future , 1988, IEEE 1988 International Conference on Neural Networks.

[6]  P. J. Werbos,et al.  Backpropagation and neurocontrol: a review and prospectus , 1989, International 1989 Joint Conference on Neural Networks.