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The amplitude of the PZT is optimized to produce the optimal phase stepping of π/2.
Optimal phase alignment between oscillatory neural circuits is hypothesized to optimize information flow and enhance system performance.
Besides, the conventional GSPWM method adopts a particle swarm optimization (PSO) method with many particles and iteration steps to find the optimal phase shift angles and the synchronization frequency.
Finally, the PSO method could find the optimal phase shift angle of φ gbest.
In general, the control phase value will vary around the optimal phase setting.
Directives about realizing the optimal phase angle of beta-type Stirling engines were also given.
An illustrative example shows that the optimal phase change temperature can be obtained for given loads.
The optimal phase difference which should be used in order to maximize the conversion is determined.
Where φ PWMMbest is the optimal phase shift angle and f syn is the sending frequency of synchronous signals. .
The phase variances shown in Figure 3 are at their respective minima in terms of optimal phase.
Limited by the range resolution, the motion estimate from range alignment is insufficient to perform an optimal phase correction.
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