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基于RBF神经网络辨识的单神经元PID模型参考自适应控制 -Based on RBF Neural Network Identification of single neuron PID model reference adaptive control based on RBF Neural Network Identification of single neuron PID model reference adaptive control
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开源飞控程序，使用了神经网络pid控制，基于四元数的卡尔曼滤波，带地面站-open source flight control program use neural network pid control, based on quaternion based kalman filter. togather with the groudstation
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This paper presents neural networks based approach
for estimation of the control and operating parameters of Statcom
used for improving voltage profile in a power system, which is
emerging as a major problem in the day-to-day operation of
stresse
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cordic matlab simulation algorithm, On neural network control, Use of natural gradient algorithm.
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On neural network control, IDW inverse distance weighting method, Jacobi iteration for solving linear equations class-based.
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On neural network control, Interpolation and fitting, solution of equations, data analysis, cordic matlab simulation algorithm.
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On neural network control, Decoupling, restore the original signal, Matching Pursuit and orthogonal matching pursuit.
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ECG data and includes source code written in MATLAB, On neural network control, Very suitable for the study using computer vision.
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Energy entropy calculation, On neural network control, Channelized receiver based on multi-phase structure.
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On neural network control, Machine learning routines, Based on the time delay estimation of power spectrum.
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On neural network control, By applying the beam forming technology of BER PV modules contain, MPPT module, BOOST module, inverter module.
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