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rayleigh衰落信道的matlab源码，采用p阶自相关AR模型(rayleigh fading channel source of Matlab, using p-AR model autocorrelation)

控制网平差 初值计算 基于matlab的控制网平差程序设计初值计算源代码(Initial control network adjustment calculation)

角度和时延联合估计（JADE）算法MATLAB程序,可供参考学习(Joint angle and delay estimation (JADE) algorithm MATLAB program)

matlab作图工具介绍，还有完成的功能，学术帝需要的(introduction matlab mapping tools, as well as complete function)

说明：  数字锁相环DPLL实例程序，帮助理解PLL的结构和详细原理(DPLL DPLL examples of procedures to help understand the structure and PLL detailed Principle)

MPC using steady state model

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):

There are 19 questions and 1 programming exercise. Some of them are very easy, some of them are really hard and challenging, and these will be marked as such. If you don’t want to be challenged too much, you can skip the hard questions

说明：  An example of 16-QAM signal An example of 16-QAM signal

基于DRNN神经网络整定的PID控制<先进PID控制与matlab仿真>第六章(DRNN-based neural network tuning of PID control（advanced PID control simulation matlab） Chapter VI)