Exponential passivity of memristive neural networks with time delays

Memristive neural networks are studied across many fields of science. To uncover their structural design principles, the paper introduces a general class of memristive neural networks with time delays. Passivity analysis is conducted by constructing suitable Lyapunov functional. The analysis in the...

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Veröffentlicht in:	Neural networks 2014-01, Vol.49, p.11-18
Hauptverfasser:	Wu, Ailong, Zeng, Zhigang
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Applied sciences Artificial intelligence Computer science control theory systems Computer Simulation Computers, Hybrid Connectionism. Neural networks Control system analysis Control theory. Systems Exact sciences and technology Exponential passivity Hybrid systems Linear Models Memory Memristive neural networks Neural Networks (Computer) Nonlinear Dynamics Time Factors
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