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Intelligent control systems concepts and applications


Eurípedes P. dos Santos acknowledges CAPES (DS-44/97-0), and Fernando J. Von Zuben CNPq (300910/96-7) and FAPESP (98/09939-6), for their support.

Bishop, C. M., Neural Networks for Pattern Recognition. Oxford Univ. Press, New York, 1995.

Campolucci, P., Simonetti, M., Uncini, A., and Piazza, F., New second-order algorithms for recurrent neural networks based on conjugate gradient, IEEE International Joint Conference on Neural Networks, 384, 1998.

Frasconi, P., Gori, M., and Soda, G., Local feedback multilayered networks, Neural Computation, 4, 121, 1992.

Haykin, S., Neural Networks – A Comprehensive Foundation. Prentice Hall, Englewood Cliffs, NJ, 1999.

Johansson, E. M., Dowla, F. U., and Goodman, D. M., Backpropagation learning for multilayred feed-foward neural networks using the conjugate gradient method. International Journal of Neural Systems, 2(4): 291, 1992.

Kim, Y. H., Lewis, F. L., and Abdallah, C. T., A dynamic recurrent neural-network-based adaptive observer for a class of nonlinear systems, Automatica, 33(8), 1539, 1997.

Luenberger, D. G., Linear and Nonlinear Programming. Addison-Wesley Publishing Company, Reading, MA, 1989.

Moller, M. F., A scaled conjugate gradient algorithm for fast supervised learning, Neural Networks, 6(4), 525, 1993.

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