• Conference Object  

      Convergence analysis for a class of neural networks 

      Polycarpou, Marios M.; Ioannou, Petros A. (Publ by IEEE, 1992)
      Summary form only given, as follows. The authors consider the convergence issue that arises in the application of backpropagation algorithms in a special class of neural network architectures, referred to as structured ...
    • Conference Object  

      Learning techniques for structured networks 

      Polycarpou, Marios M.; Ioannou, Petros A. (Publ by American Automatic Control Council, 1991)
      A convergence analysis is presented for the training of structured networks. Since the learning techniques that are used in structured networks are the same as the ones used in training of neural networks, the issue of ...
    • Article  

      Strictly Positive Real Matrices and the Lefschetz-Kalman-Yakubovich Lemma 

      Tao, G.; Ioannou, Petros A. (1988)
      In this note we give necessary and sufficient conditions in the frequency domain for rational matrices to be strictly positive real. Based on this result, the matrix form of the Lefschetz-Kalman-Yakubovich lemma is proved, ...