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A new topology method, designed based on a multilevel structure, is employed to present different shapes of swarm robots in the desired region.
HuMiTar, which is a prediction method designed based on human miR targets, is shown to provide predictions characterized by favorable sensitivity, which comes at a price of an increased number of predictions.
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In previous methods designed based on field oriented (and/or weakening) control, high performance of current control is required for position control of permanent magnet (PM) stepper motors.
Firstly, a model-based nonlinear observer in the proposed method is designed based on available information.
An arm motion estimation method is designed based on the fuzzy predictive control theory.
The model solution method is designed based on scenario analysis and enumerative algorithm.
This method was designed based on a three-layer cascade control strategy.
Practically, the robot cannot walk fast, because the method is designed based on static equilibrium and the region for the leg-grope is not so large.
1) With arbitrary channel coefficients, a novel layer partitioning method is designed based on the power level intersections between the signals and interference.
Since the proposed method is designed based on the JPEG model, it can be efficiently integrated into the JPEG standard.
The proposed method was designed based on the idea of the context-dependent DEA proposed by Seiford and Zhu (2003).
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