Laboratory for Control, Learning, and Systems Biology

Papers by Y. Qiao and E.D. Sontag

1999
  1. ▪E.D. Sontag, Y. Qiao, "Further results on controllability of recurrent neural networks", Systems Control Lett., vol. 36, no. 2, pp. 121–129, 1999. pdf
    machine learning · artificial intelligence · controllability · recurrent neural networks · neural networks
    Abstract

    This paper studies controllability properties of recurrent neural networks. The new contributions are: (1) an extension of the result in "Complete controllability of continuous-time recurrent neural networks" to a slightly different model, where inputs appear in an affine form, (2) a formulation and proof of a necessary and sufficient condition, in terms of local-local controllability, and (3) a complete analysis of the 2-dimensional case for which the hypotheses made in previous work do not apply.

1998
  1. ▪E.D. Sontag, Y. Qiao, "Remarks on controllability of recurrent neural networks", In Proc.\ IEEE Conf.\ Decision and Control, Tampa, Dec.\ 1998, IEEE Publications, 1998, pp. 501–506, 1998.
    machine learning · artificial intelligence · neural networks · recurrent neural networks