Robustness of delta operator based cellular neural networks

Robustness of delta operator based cellular neural networks

The delta operator approach to continuous-time cellular neural networks (CT-CNNs) is investigated in terms of a robust realization. It is shown that earlier results concerning the robustness of CT-CNNs can be obtained as a limiting case of this approach, while at the same time, this allows us to for...

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Bibliographische Detailangaben
Hauptverfasser: Mirzai, B., Reddy, H.C., Moschytz, G.S.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Cellular neural networks
Computer networks
Image processing
Information processing
Laboratories
Limiting
Nonlinear equations
Robustness
Sampling methods
Signal processing
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Beschreibung
Zusammenfassung:The delta operator approach to continuous-time cellular neural networks (CT-CNNs) is investigated in terms of a robust realization. It is shown that earlier results concerning the robustness of CT-CNNs can be obtained as a limiting case of this approach, while at the same time, this allows us to formulate robustness considerations for discrete-time CNNs.
DOI:10.1109/ISCAS.1997.609006