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The base stations have to compensate for the effect of these multiple synchronization parameters in order to synchronize data transmission to the users during downlink communication by adopting any CoMP scheme.
In order to synchronize all the nodes in the network, our proposed synchronization mechanism uses a synchronous method which includes two phases: the synchronization setup phase and the synchronization maintenance phase, described below.
In order to synchronize different data sources, LAN communication needs have accurate GPS synchronous time-marker.
Thus, in order to synchronize all various units, a training needs analysis (TNA) is required.
Two adaptive control approaches are designed in order to synchronize the neural networks in finite time.
First, a generalized Jacobian function is derived based on screw theory in order to synchronize the motions of linear and rotary drives.
In order to synchronize the actuator dynamics, a third fractional order PI controller is designed, which feeds the force compensation signal in position feedback loop of both actuators.
Inertial sensors at the foot are used for realtime gait phase detection in order to synchronize the stimulation with the gait.
In order to synchronize all state variables in the neuron system, we regard the nonlinear feedback system as a multi-input multi-output (MIMO) system.
First it is designed based on active control method, and then, in order to synchronize with a lower energy, we design an optimal controller.
It can be controlled by a computer in order to synchronize the software of the detector and of the rotary table with the aim of an automation of measurements.
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CEO of Professional Science Editing for Scientists @ prosciediting.com