Exponential Hï‚¥ Synchronization of Memristor-based Neural Networks with Time-varying Delays
Abstract
This paper investigates the exponential Hï‚¥ synchronization for memristor-based neural networks (MNNs) with time-varying delays. Under the framework of Filippov's solution and differential inclusion theory, an exponential synchronization controller is obtained based on linear matrix inequality (LMI) firstly. Then a delay-dependent Hï‚¥ synchronization controller for MNNs with time-varying delays is established to not only guarantee exponential synchronization, but also reduce the effect of external disturbance to an Hï‚¥ norm constraint.
Keywords
Exponentially stable, Hï‚¥ synchronization, Memristor-based neural network
DOI
10.12783/dtcse/iece2018/26632
10.12783/dtcse/iece2018/26632
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