Extended LaSalle's invariance principle for full-range cellular neural networks

DOI10.1155/2009/730968zbMath1184.94151OpenAlexW2146737639WikidataQ59248914 ScholiaQ59248914MaRDI QIDQ965342

Massimo Grazzini, Mauro Di Marco, Luca Pancioni, Mauro Forti

Publication date: 24 April 2010

Published in: EURASIP Journal on Advances in Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2009/730968

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Ordinary differential inclusions (34A60)

Related Items (1)

Łojasiewicz inequality and exponential convergence of the full‐range model of CNNs

Cites Work

• Cellular neural networks: theory
• Stability and Stabilization of Discontinuous Systems and Nonsmooth Lyapunov Functions
• Current-mode techniques for the implementation of continuous- and discrete-time cellular neural networks
• Lyapunov stability theory of nonsmooth systems
• Comparison between the dynamic behaviour of Chua-Yang and full-range cellular neural networks
• Dynamical Analysis of Full-Range Cellular Neural Networks by Exploiting Differential Variational Inequalities

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