Dynamical Analysis of Full-Range Cellular Neural Networks by Exploiting Differential Variational Inequalities

IEEE Transactions on Circuits and Systems I Fundamental Theory and Applications ◽

10.1109/tcsi.2007.902607 ◽

2007 ◽

Vol 54 (8) ◽

pp. 1736-1749 ◽

Author(s):

Guido De Sandre ◽

Mauro Forti ◽

Paolo Nistri ◽

Amedeo Premoli

Keyword(s):

Neural Networks ◽

Variational Inequalities ◽

Cellular Neural Networks ◽

Dynamical Analysis ◽

Differential Variational Inequalities

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Full-range cellular neural networks and differential variational inequalities

2006 IEEE International Conference on Acoustics Speed and Signal Processing Proceedings ◽

10.1109/iscas.2006.1693049 ◽

2006 ◽

Author(s):

G. De Sandre ◽

M. Forti ◽

P. Nistri ◽

A. Premoli

Keyword(s):

Neural Networks ◽

Variational Inequalities ◽

Cellular Neural Networks ◽

Differential Variational Inequalities

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Comparison between the dynamic behaviour of Chua-Yang and full-range cellular neural networks

International Journal of Circuit Theory and Applications ◽

10.1002/cta.241 ◽

2003 ◽

Vol 31 (5) ◽

pp. 423-441 ◽

Author(s):

F. Corinto ◽

M. Gilli

Keyword(s):

Neural Networks ◽

Dynamic Behaviour ◽

Cellular Neural Networks

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Dynamical Analysis of Fuzzy Cellular Neural Networks with Time-varying Delays

Journal of Computers ◽

10.4304/jcp.7.4.934-940 ◽

2012 ◽

Vol 7 (4) ◽

Author(s):

Qianhong Zhang ◽

Lihui Yang ◽

Daixi Liao

Keyword(s):

Neural Networks ◽

Cellular Neural Networks ◽

Dynamical Analysis ◽

Time Varying ◽

Fuzzy Cellular Neural Networks

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Extended LaSalle's Invariance Principle for Full-Range Cellular Neural Networks

EURASIP Journal on Advances in Signal Processing ◽

10.1155/2009/730968 ◽

2009 ◽

Vol 2009 (1) ◽

Author(s):

Mauro Di Marco ◽

Mauro Forti ◽

Massimo Grazzini ◽

Luca Pancioni

Keyword(s):

Neural Networks ◽

Invariance Principle ◽

Cellular Neural Networks ◽

Lasalle’S Invariance Principle ◽

Lasalle's Invariance Principle

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Convergent Dynamics of Nonreciprocal Differential Variational Inequalities Modeling Neural Networks

IEEE Transactions on Circuits and Systems I Regular Papers ◽

10.1109/tcsi.2013.2265959 ◽

2013 ◽

Vol 60 (12) ◽

pp. 3227-3238 ◽

Author(s):

Mauro Di Marco ◽

Mauro Forti ◽

Massimo Grazzini ◽

Luca Pancioni

Keyword(s):

Neural Networks ◽

Variational Inequalities ◽

Differential Variational Inequalities

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

2008 11th International Workshop on Cellular Neural Networks and Their Applications ◽

10.1109/cnna.2008.4588648 ◽

2008 ◽

Author(s):

Mauro Di Marco ◽

Mauro Forti ◽

Massimo Grazzini ◽

Luca Pancioni

Keyword(s):

Neural Networks ◽

Invariance Principle ◽

Cellular Neural Networks

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Rich dynamics in weakly-coupled full-range cellular neural networks

2004 IEEE International Symposium on Circuits and Systems (IEEE Cat. No.04CH37512) ◽

10.1109/iscas.2004.1328678 ◽

2004 ◽

Author(s):

M. Di Marco ◽

M. Forti ◽

A. Tesi

Keyword(s):

Neural Networks ◽

Cellular Neural Networks ◽

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Global Robust Stability Criteria for Interval Delayed Full-Range Cellular Neural Networks

IEEE Transactions on Neural Networks ◽

10.1109/tnn.2011.2110661 ◽

2011 ◽

Vol 22 (4) ◽

pp. 666-671 ◽

Author(s):

M Di Marco ◽

M Grazzini ◽

L Pancioni

Keyword(s):

Neural Networks ◽

Robust Stability ◽

Cellular Neural Networks ◽

Stability Criteria ◽

Global Robust Stability

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Set-valued derivative and Lyapunov method for full-range cellular neural networks

2009 IEEE International Symposium on Circuits and Systems ◽

10.1109/iscas.2009.5118360 ◽

2009 ◽

Author(s):

M. Di Marco ◽

M. Forti ◽

M. Grazzini ◽

L. Pancioni

Keyword(s):

Neural Networks ◽

Lyapunov Method ◽

Cellular Neural Networks

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A study on global robust stability of delayed full-range cellular neural networks

2008 IEEE International Symposium on Circuits and Systems ◽

10.1109/iscas.2008.4541681 ◽

2008 ◽

Author(s):

M. Di Marco ◽

M. Forti ◽

M. Grazzini ◽

L. Pancioni

Keyword(s):

Neural Networks ◽

Robust Stability ◽

Cellular Neural Networks ◽

Global Robust Stability

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