On Stability of Cellular Neural Networks

  • Authors:
  • Pier Paolo-Civalleri;Marco Gilli

  • Affiliations:
  • Dipartimento di Elettronica, Politecnico di Torino, Corso Duca degli Abruzzi 24, I-10129 Torino, Italy;Dipartimento di Elettronica, Politecnico di Torino, Corso Duca degli Abruzzi 24, I-10129 Torino, Italy

  • Venue:
  • Journal of VLSI Signal Processing Systems - Special issue on spatiotemporal signal processing with analog CNN visual microprocessors
  • Year:
  • 1999

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Abstract

The main results about stability of cellular neural networks(CNNs) are reviewed. Some of them are extended and reformulated,with the purpose of providing to the CNN designer simple criteriafor checking the stability properties. A particular emphasis isgiven to the conditions for the stability of CNNs described byspace-invariant templates.