mangfenli

基于云模型的PID控制算法，可以大大提高控制效率(PID control algorithm based on cloud model, can greatly improve control efficiency)

几个FDTD程序，对初学者很重要，很有参考价值。(Several FDTD procedure is very important for beginners, it is reference value.)

对混沌时间序列相空间重构C—C方法的三点不足，提出了一种基于改进的C-c方法的 确定曩优时延与嵌入窗的新算法．在关联积分计算过程中引入了权衡计算精度与速度的可调参数， 合理选择试参数，能在不严重损失估计精度的前提下，大大加快计算速度。在理论分析的基础上， 用所提出的算法对三种混沌序列进行相空间重构，仿真结果表明该算法对最优时延的选择更准确， 对最优嵌入窗的选取更可靠。(Of chaotic time series phase space reconstruction methods of C-C less than three points, a method based on an improved determination of former times Cc excellent window of time delay and embedding the new algorithm. Calculation of correlation integral in the process of introducing a trade-off accuracy and speed of the adjustable parameters, a reasonable choice of test parameters can be estimated without serious loss of accuracy under the premise of the calculation speed greatly accelerated. In the theoretical analysis, based on the algorithm used by the chaotic sequence of three phase-space reconstruction, simulation results show that the algorithm of the optimal choice of a more accurate time delay, the optimal embedding window for the selection of more reliable.)

it is very useful to matlab design for students who are searching for boost circuits

GM_PHD_Filter Version 1.09, 13th December 2013 Matlab code by Bryan Clarke b.clarke@acfr.usyd.edu.au with: - some Kalman filter update code by Tim Bailey, taken from his website http://www-personal.acfr.usyd.edu.au/tbailey/software/ - error_ellipse by AJ Johnson, taken from Matlab Central http://www.mathworks.com.au/matlabcentral/fileexchange/4705-errorellipse Algorithm by Ba-Ngu Vo & Wing-Kin Ma in: B.-N. Vo, W.-K. Ma, "The Gaussian Mixture Probability Hypothesis Density Filter", IEEE Transactions on Signal Processing, Vol 54, No. 11, November 2006, pp4091-4104 This is an implementation of a gaussian mixture probability hypothesis density filter (GM-PHD) for a simulated tracking problem. The problem specification is given in the above paper - in summary, two targets move through the environment, there is a lot of clutter on the measurement, and about halfway through a third target spawns off one of the two targets.(GM_PHD_Filter Version 1.09, 13th December 2013 Matlab code by Bryan Clarke b.clarke@acfr.usyd.edu.au with: - some Kalman filter update code by Tim Bailey, taken from his website http://www-personal.acfr.usyd.edu.au/tbailey/software/ - error_ellipse by AJ Johnson, taken from Matlab Central http://www.mathworks.com.au/matlabcentral/fileexchange/4705-errorellipse Algorithm by Ba-Ngu Vo & Wing-Kin Ma in: B.-N. Vo, W.-K. Ma, "The Gaussian Mixture Probability Hypothesis Density Filter", IEEE Transactions on Signal Processing, Vol 54, No. 11, November 2006, pp4091-4104 This is an implementation of a gaussian mixture probability hypothesis density filter (GM-PHD) for a simulated tracking problem. The problem specification is given in the above paper- in summary, two targets move through the environment, there is a lot of clutter on the measurement, and about halfway through a third target spawns off one of the two targets.)

在matlab上实现电池充电是容量-电压曲线的绘制，采用计数法代替微分发技术(Implement matlab code on outputing capcity-voltage curve, which is ploted by counting point menthod instead of derivation )

Sharpness detection algorithm.

matlab code for ploting bar chat with columns filled by specified background

Computation of line parameters

一卡一车，停车刷卡闸门打开，开始自动计时计费；取车刷卡闸门打开，自动统计停车时间及所需缴纳的费用。(A card for a car, parking gates open credit card, start the automatic time billing take the car to open the gate card, automatic statistics downtime and required to pay costs.)