how-to-learn-matlab

说明：  直流马达数学模型，包括三个不同的模型文件，以及相应的PID速度控制、位置控制的Matlab 演示文件(DC motor mathematical model, including the three different models of documents, and the corresponding PID speed control, position control of the Matlab demo files)

说明：  UCSB 的DSP信号处理8次试验的代码及问题说明word格式(UCSB DSP signal processing eight tests and the code word statement format)

矩形脉冲信号CW组合波形的模糊函数图的仿真(Rectangular pulse signal ambiguity function diagram of the the CW combination of waveform simulation)

变结构控制仿真实例源代码，《滑模变结构控制仿真研究》随书光盘(Variable Structure Control simulation source code, " Sliding Mode Variable Structure Control Based on" CD with the book)

求满足巴特沃斯模拟低通的最低结束以及滤波器系统函数及其几点位置(To meet the butterworth lowest end and analog low-pass filter system function and its several location)

说明：  Gaussian Processes Regression(GPR) 高斯过程回归 Matlab 实现(Gaussian processes regression (GPR) matlab implementation)

说明：  The model used for creating the reference voltage is shown in Fig. 4. First, photovoltaic output current (Ipv) and output voltage (Vpv) are passed through a first order low pass filter with a magnitude of G = 1 and a time constant of T = 0.01 seconds in order to filter out the high frequency components or harmonics from these signals as shown in Fig. 5 and Fig. 6. The filtered current and voltage signals (Ipv_F and Vpv_F) are then fed into the MPPT control block that uses the Incremental Conductance Tracking Algorithm. An algorithm that is based on the fact the slope of the PV array power curve shown in Fig. 7 is zero at the Maximum Power Point (MPP), positive on the left of the MPP, and negative on the right. The MPP can thus be tracked by comparing the instantaneous conductance (I/V) to the incremental conductance (∆ I/∆ V) [11] as in (1):

Hilbert-huang极值和zero-crossing(Hilbert-huang extr和zero-crossing)

Fuzzy model reference learning control simulation (ship tanker)

用MATLAB实现的网络设计与测试程序，为神经网络理论的应用(MATLAB network design and testing procedures for the neural network theories in the)