Some scientific and engineering applications are still dominated by vector computing, in which a small number of high-performance processors are augmented by special hardware to compute long chains of calculations quickly.
In this paper, the vector computing technique is applied in modeling and simulation of induction machines.
This vector computes optimal actions of all players considering their payoff function.
The feature vector computed in previous section becomes input to recognition phase.
Each black arrow corresponds to the unitary vector computed at time t, scaled for visualization purposes.
where μ is the mean feature vector computed on the n points.
The difference equations are solved by iterations in order to permit exploitation of parallel and vector computing methods.
where (underline {mathbf {x}}_{text {norm},b} kappa)) is the normalized DFT-domain signal vector computed analogously to (26).
Modeling and simulation of induction machines using vector computing technique in Matlab/Simulink provides an efficient approach for further research on wind generation system integration and control.
