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Since the relaying operations are different in DF and AF cooperative communication systems, so too are their synchronization methodologies.
However, their control and synchronization methodologies had two important limitations: considering the commensurate fractional order system, and controlling via multiple input.
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Numerical simulation results for Rössler and FitzHugh Nagumo models are provided to demonstrate the effectiveness of the proposed adaptive stabilization and synchronization control methodologies.
This paper focuses on the synchronization control methodology for a class of delayed reaction diffusion memristor-based neural networks.
Methodology: Synchronization is generally considered as a subfield of signal processing.
Furthermore, it might be advantageous to assess synchronization of neural activity using methodologies which are neither restricted to specific frequencies of oscillatory activity, nor to spiking neurons nor to pairs of recording electrodes.
In this paper, through numerical studies, we explore a new methodology for chaos synchronization via a hybrid (generalized plus identical) synchronization.
This research study proves the potential and the feasibility of the proposed time-dependent dynamic modeling methodology based on synchronization of multiple cameras and two robotic total station units for checking the physical dimensions and changes in dimension of a moving object in the construction field.
This research contributes to the lean literature with a new methodology that ensures the synchronization of global organizations by providing efficient communication between distributed teams without damaging the baseline methodology.
In order to determine changes in protein-chromatin interactions in direct relationship to DNA replication, these methodologies must rely on synchronization of a population of cells.
The simulation example is included to confirm validity and synchronization performance of the advocated design methodology.
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