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Synchronization control of a class of memristor-based recurrent neural networks. (English) Zbl 1243.93049
Summary: In this paper, we formulate and investigate a class of memristor-based recurrent neural networks. Some sufficient conditions are obtained to guarantee the exponential synchronization of the coupled networks based on drive-response concept, differential inclusions theory and Lyapunov functional method. The analysis in the paper employs results from the theory of differential equations with discontinuous right-hand side as introduced by Filippov. Finally, the validity of the obtained result is illustrated by a numerical example.
MSC:
93C15Control systems governed by ODE
93B20Minimal systems representations
93A14Decentralized systems
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