Abstract
This paper investigates the problem of robust adaptive lag synchronization of uncertain fuzzy memristive neural networks with time-varying delays. The memristive neural networks combining fuzzy model with uncertain parameters are described at length. Based on the Lyapunov functional method and novel update laws for parameter uncertainties and controller gain, some sufficient conditions which guarantee the slave systems robust adaptive lag synchronized with the master systems are obtained. Finally, two simulated examples are presented to show the effectiveness and applications of the obtained results.
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