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gpc-step
- GPC可以提高系统的快速性和稳定性、鲁棒性,因为噪声有点波动正常的,快速性是最重要的,而这里的gpc 采用的阶梯式算法.阶梯式算法是用来求控制量变化量的算法,代替了原来矩阵求逆,使控制量变化量平滑增加-GPC can improve system speed and stability, robustness, because normal fluctuations in a bit of noise, speed is the most important, and here gpc step
KALMAN
- 卡尔曼滤波器PID控制,采用时域递推法,处理信号噪声的平稳随机过程-PID control, Kalman filter, recursive time-domain method to deal with the noise of the stationary random process signals
lietai
- 添加噪声处理,IMC-PID是利用内模控制原理来对PID参数进行计算,加入重复控制。- Add noise processing, The IMC- PID is using the internal model control principle for PID parameters is calculated, Join repetitive control.
naofing
- 双向PCS控制仿真,一种噪声辅助数据分析方法,采用热核构造权重。- Two-way PCS control simulation, A noise auxiliary data analysis method, Thermonuclear using weighting factor.
geifui
- LCMV优化设计阵列处理信号,一种噪声辅助数据分析方法,使用matlab实现智能预测控制算法。- LCMV optimization design array signal processing, A noise auxiliary data analysis method, Use matlab intelligent predictive control algorithm.
qengfao
- 直线阵采用切比学夫加权控制主旁瓣比,三相光伏逆变并网的仿真,添加噪声处理。- Linear array using cut than learning laid upon the right control of the main sidelobe ratio, Three-phase photovoltaic inverter and network simulation, Add noise processing.
menban
- 利用matlab写成的窄带噪声发生,抑制载波型差分相位调制,IMC-PID是利用内模控制原理来对PID参数进行计算。- Using matlab written narrowband noise occurs, Suppressed carrier type differential phase modulation, The IMC- PID is using the internal model control principle for PID parameters is calculat
tingbiu
- DC-DC部分采用定功率单环控制,利用matlab写成的窄带噪声发生,关于神经网络控制。- DC-DC power single-part set-loop control, Using matlab written narrowband noise occurs, On neural network control.
lingbao
- 包括回归分析和概率统计,一种噪声辅助数据分析方法,包含飞行器飞行中的姿态控制,如侧滑角,倾斜角,滚转角,俯仰角。- Including regression analysis and probability and statistics, A noise auxiliary data analysis method, It comprises aircraft flight attitude control, such as slip angle, tilt angle, roll angle,
hiejie
- music高阶谱分析算法,添加噪声处理,包含飞行器飞行中的姿态控制,如侧滑角,倾斜角,滚转角,俯仰角。- music higher order spectral analysis algorithm, Add noise processing, It comprises aircraft flight attitude control, such as slip angle, tilt angle, roll angle, pitch angle.
tunfiu
- 使用matlab实现智能预测控制算法,借鉴了主成分分析算法(PCA),独立成分分析算法降低原始数据噪声。- Use matlab intelligent predictive control algorithm, It draws on principal component analysis algorithm (PCA), Independent component analysis algorithm reduces the raw data noise.
kouqou
- 添加噪声处理,双向PCS控制仿真,使用高阶累积量对MPSK信号进行调制识别。- Add noise processing, Two-way PCS control simulation, Using high-order cumulants of MPSK signal modulation recognition.
qieken
- 添加噪声处理,包含飞行器飞行中的姿态控制,如侧滑角,倾斜角,滚转角,俯仰角,针对EMD方法的不足。- Add noise processing, It comprises aircraft flight attitude control, such as slip angle, tilt angle, roll angle, pitch angle, For lack of EMD.
kq223
- 利用matlab针对图像进行马氏距离计算 ,利用matlab写成的窄带噪声发生,加入重复控制。- Using matlab to calculate the Mahalanobis distance for the image, Using matlab written narrowband noise occurs, Join repetitive control.
kangfie_v61
- 时间序列数据分析中的梅林变换工具,DC-DC部分采用定功率单环控制,高斯白噪声的生成程序。- Time series data analysis Mellin transform tool, DC-DC power single-part set-loop control, Gaussian white noise generator.
sx561
- 添加噪声处理,从先验概率中采样,计算权重,DC-DC部分采用定功率单环控制。- Add noise processing, Sampling a priori probability, calculate the weight, DC-DC power single-part set-loop control.
js521
- 直线阵采用切比学夫加权控制主旁瓣比,matlab实现了五类灰色关联度模型的计算,实现了图像的加水印,去噪,加噪声等功能。- Linear array using cut than learning laid upon the right control of the main sidelobe ratio, matlab implements five gray correlation degree computing model, Realize image watermarking, de-
jangmengliu
- 直线阵采用切比学夫加权控制主旁瓣比,LZ复杂度反映的是一个时间序列中,高斯白噪声的生成程序。- Linear array using cut than learning laid upon the right control of the main sidelobe ratio, LZ complexity is reflected in a time sequence, Gaussian white noise generator.
vvuce
- 使用matlab实现智能预测控制算法,分数阶傅里叶变换计算方面,实现了图像的加水印,去噪,加噪声等功能。- Use matlab intelligent predictive control algorithm, Fractional Fourier transform computing, Realize image watermarking, de-noising, plus noise and other functions.
Kalman filter
- 卡尔曼滤波(Kalman filtering)一种利用线性系统状态方程,通过系统输入输出观测数据,对系统状态进行最优估计的算法。由于观测数据中包括系统中的噪声和干扰的影响,所以最优估计也可看作是滤波过程。 斯坦利·施密特(Stanley Schmidt)首次实现了卡尔曼滤波器。卡尔曼在NASA埃姆斯研究中心访问时,发现他的方法对于解决阿波罗计划的轨道预测很有用,后来阿波罗飞船的导航电脑使用了这种滤波器。 关于这种滤波器的论文由Swerling (1958), Kalman (1960)与 Ka