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In this paper, the memristor-based fractional-order neural networks (MFNN) with delay and with two types of stabilizing control are described in detail. Based on the Lyapunov direct method, the theories… Click to show full abstract
In this paper, the memristor-based fractional-order neural networks (MFNN) with delay and with two types of stabilizing control are described in detail. Based on the Lyapunov direct method, the theories of set-value maps, differential inclusions and comparison principle, some sufficient conditions and assumptions for global stabilization of this neural network model are established. Finally, two numerical examples are presented to demonstrate the effectiveness and practicability of the obtained results.
Keywords:
order neural;
neural networks;
memristor based;
fractional order;
based fractional;
global stabilization
Journal Title: Modern Physics Letters B
Year Published: 2017
Link to full text (if available)
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Journal Title: Modern Physics Letters B
Year Published: 2017
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!