Autors: Mladenov, V. M., Leenaerts, D.
Title: Estimation of the basin of attractions of stable equilibrium points in full range cellular neural networks
Keywords: Cellular Neural Networks (CNN’s), Full Range CNN, Linear S

Abstract: An approach is discussed to estimate the basin of attraction of stable equilibrium points in linear systems, operating in a saturated mode (LSSM). The approach is valid for Full Range Cellular Neural Networks (FR CNNs) too as far as the dynamic properties of both systems are qualitatively similar. The approach is an extension to previous work on origina l CNNs. The used technique is based on the determination of the so called tree of regions for each stable equilibrium point and the additional separation of the regions where the boundaries between different basins are located. The obtained trees for each stable equilibrium point give the corresponding basin of attraction.

References

    Issue

    Int. conf. Computational Intelligence and Applications, pp. 119-122, 1999, Greece, ISBN ISBN 960805205X

    Вид: публикация в международен форум, публикация в реферирано издание, индексирана в Scopus