-
ventanas_modales_css
crear ventanas modales en css
- 2014-10-17 02:00:49下载
- 积分：1
-
matlab-programe
这个程序是用matlab绘画三角阵位置和三角阵列接收信号数据的功率密度函数(This program is a triangular matrix using matlab painting has been in matlab run)
- 2012-10-14 21:50:40下载
- 积分：1
-
power_control
四轴动力模块，用一个顶模块控制，输入有：油门（20档）；指令；水平仪控制指令，4个输出口(Axis power modules, with a top module control inputs are: accelerator (20 files) instruction Level control instructions, four output ports)
- 2013-12-26 20:57:03下载
- 积分：1
-
SumDiff_angle_measure
相控阵天线和差测角仿真程序,帮助理解相控阵跟踪过程(Phased array antenna and the difference between the measured angle simulation program to help understand phased array tracking process)
- 2020-09-22 09:37:51下载
- 积分：1
-
gscale
GSCALE Scales the intensity of the input image.
G = GSCALE(F, full8 ) scales the intensities of F to the full
8-bit intensity range [0, 255]. This is the default if there is
only one input argument.
G = GSCALE(F, full16 ) scales the intensities of F to the full
16-bit intensity range [0, 65535].
G = GSCALE(F, minmax , LOW, HIGH) scales the intensities of F to
the range [LOW, HIGH]. These values must be provided, and they
must be in the range [0, 1], independently of the class of the
input. GSCALE performs any necessary scaling. If the input is of
class double, and its values are not in the range [0, 1], then
GSCALE scales it to this range before processing.
The class of the output is the same as the class of the input.
Copyright 2002-2004 R. C. Gonzalez, R. E. Woods, & S. L. Eddins
Digital Image Processing Using MATLAB, Prentice-Hall, 2004
$Revision: 1.5 $ $Date: 2003/11/21 14:36:09 $
- 2014-10-07 09:10:58下载
- 积分：1
-
RK
说明： 龙格库塔程序源代码，用于解微分方程或微分方程组，给初学者作为参考。(Runge-Kutta program source code for the solution of differential equations or differential equations, as a reference for beginners.)
- 2009-05-10 18:09:11下载
- 积分：1
-
transform
多传感器机动目标追踪空间配准实现源码，注释清晰，程序简洁，实用性强(Multi-sensor maneuvering target tracking spatial registration achieve source, comments clear, concise procedures, practical)
- 2014-09-21 09:01:46下载
- 积分：1
-
2links-Robo
In this paper, an orthogonal functions neural network is used to
achieve the control of nonlinear systems. The adaptive controller is constructed
by using Chebyshev orthogonal polynomials neural network, which has advantages
such as simple structure and fast convergence speed. The adaptive learning
law of orthogonal neural network is derived to guarantee that the adaptive
weight errors and tracking errors are bound by using Lyapunov stability theory.
Simulation results are given for a two-link robot in the end of the paper, and the
control scheme is validated.
- 2014-11-09 15:47:04下载
- 积分：1
-
numerical_analysis_homework
(有源代码)数值分析作业,本文主要包括两个部分,第一部分是常微分方程(ODE)的三个实验题,第二部分是有关的拓展讨论,包括高阶常微分的求解和边值问题的求解(BVP).文中的算法和算例都是基于Matlab计算的.ODE问题从刚性(STIFFNESS)来看分为非刚性的问题和刚性的问题,刚性问题(如大系数的VDP方程)用通常的方法如ODE45来求解,效率会很低,用ODE15S等,则效率会高多了.而通常的非刚性问题,用ODE45来求解会有很好的效果.从阶次来看可以分为高阶微分方程和一阶常微分方程,高阶的微分方程一般可以化为状态空间(STATE SPACE)的低阶微分方程来求解.从微分方程的性态看来,主要是微分方程式一阶导系数大的时候,步长应该选得响应的小些.或者如果问题的性态不是太好估计的话,用较小的步长是比较好的,此外的话Adams多步法在小步长的时候效率比R-K(RUNGE-KUTTA)方法要好些,而精度也高些,但是稳定区间要小些.从初值和边值来看,也是显著的不同的.此外对于非线性常微分方程还有打靶法,胞映射方法等.而对于微分方程稳定性的研究,则诸如相平面图等也是不可缺少的工具.值得提出的是,除了用ode系类函数外,用simulink等等模块图来求解微分方程也是一种非常不错的方法,甚至是更有优势的方法(在应用的角度来说).((Source code) numerical analysis homework, this docment includes two parts, the first is ordinary differential equations (ODE) of the three examples, the second part is about the expansion of the discussion, including the higher-order ordinary differential & boundary value solution Problems (BVP). the text of the algorithm and numerical examples are based on the Matlab. ODE from the rigid (STIFFNESS) look into the issue of non-rigid and rigid problem, rigid problems (such as large coefficient VDP equation) such as using the always method ODE45 used to solve the problems , efficiency will be low, with ODE15S the other hand, many of the high efficiency. and the usual problem of non-rigid, there will be used to solve ODE45 very good results. Judging from the order can be for high-order differential equations and first-order ordinary differential equations, higher-order differential equations can be transformed into a general state space (STATE SPACE) used to solve the low-order different)
- 2009-03-16 09:06:09下载
- 积分：1
-
trns
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):
- 2013-07-23 17:45:44下载
- 积分：1
