dsb

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):

Programm is counting inverse matrix

introduction to water level control system

CODE IN MATLAB TO PERFORM RIGID TRANSFORM IN 3D

光学工程对光路的追迹应用很多 本程序可以模拟光的折射路径。(The refraction of light)

Plotting and examining speech waveforms is one of the most useful ways of understanding the properties of speech. This MATLAB exercise displays a speech waveform as both a single line waveform and as a running plot of speech samples (called a strips plot). This exercise allows the user to both plot and play user-selected regions of the waveform.

This is a program for extracting objects from an image. Written for vehicle number plate segmentation and extraction. Authors : Jeny Rajan, Chandrashekar P S. U can use attached test image for testing input - give the image file name as input. eg :- car3.jpg(This is a program for extracting objects from an image. Written for vehicle number plate segmentation and extraction. Authors : Jeny Rajan, Chandrashekar P S. U can use attached test image for testing input- give the image file name as input. eg :- car3.jpg)

一个简单的滑膜控制实例，通过对典型惯性系统的仿真，进一步深化对滑膜控制抖震的了解，经个人验证，程序可用，且仿真效果良好。(A simple synovial control instance, the typical inertial system simulation, further deepen the understanding of the synovial control buffeting by personal verification procedures are available, and the simulation results are good.)

this file use hybrid kalman filter for estimation

一种结合PSO及改进BP网络的辨识方法 很好的微粒群应用算法辨识效果很好(A combination of PSO and the improved BP network identification method of application of particle swarm algorithm is a very good very good identification results)