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This paper mainly investigates two kinds of sliding mode synchronization (SMS) for multiple chaotic systems with unknown parameters and disturbances.
A sliding mode synchronization controller is presented with RBF neural network for two chaotic systems in this paper.
In this manuscript, we have studied the adaptive sliding mode synchronization of commensurate fractional order Genesio-Tesi system with disturbance.
Since inaccuracies or uncertainties may occur in the designed state estimator and the complete mode synchronization between plant and state estimator is hardly possible, a non-fragile asynchronous state estimator design method is presented.
There are two main reasons leading us to investigate observer-based sliding mode synchronization of FONNs.
Know the purpose of one-time mode synchronization.
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A dual-hop decode-and-forward (DF) cooperative communication mode with synchronization and diversity combining at the PR is considered.
The physical layer scheme of ECMA-368 adopts preamble-based mode, therefore, synchronization in MB-OFDM-based UWB systems is data-aided.
synchronization mode: There are three synchronization modes for you, Auto,Force mode, and Progressive mode.
defer.add img); Synchronization mode: There are three synchronization modes for you, Auto,Force mode, and Progressive mode.
At present, there are two different synchronization modes for synchronizing multiple chaotic systems.
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