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The quantization error of the output is transformed into a bounded nonlinearity via a model transformation.
The measurement results show that the total error of the output voltage caused by line and load variations is less than ±3% in low quiescent current (Iddq) or low voltage scenarios.
A linearized model is therefore obtained and embedded into a performance function that measures the tracking error of the output probability density function with respect to a given distribution.
This method distributes unit masses simulating revolute or prismatic joints depending on the number of assigned degrees of freedom, analyzes the kinetics of unit masses coupled with constraint forces, and designs the existence of these constraint forces to minimize the root-mean-square error of the output paths of synthesized linkages and a target linkage using a genetic algorithm.
The relative error of the output produced by the ROM is of the order 10−11.Furthermore, we have constructed a ROM for a Powercell electro-thermal model with size (n=925286), and (m=408) inputs, (l=816) outputs.
Considering the dead zone of switch being the most influenced component to the presence of harmonic circulating current in parallel inverter driving system, regarding the error of the output voltage caused by the dispersion of the dead zone as a harmonic disturbance, an inhibition method of harmonic circulating current controlled by the instantaneous feedback voltage is proposed.
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The evolution of the maximal relative error of the outputs for different values of the electrical conductivity (sigma =10, 10^{11}~mbox{S/cm}).
The evolution of the maximal relative error of the outputs for different values of the electrical conductivity (sigma =10, 10^{11}~mbox{S/cm}). Figure 17 Rel.
Using (N = 10), we calculate the normalized root mean squared error for the output of each algorithm compared to the actual stable curve of each new venue.
The goal is to minimize the total square error of the actual output and the predicted output by reasonable adjustment of equivalent parameter under the constraints of state variables and structure parameters.
The average symbol error probability of the output of SSC can be evaluated by averaging the conditional symbol error probability for a given SIR, over the PDF of, that is, [19]: (16).
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