登录
首页 » PDF » PID-controller-design-of-nonlinear-systems-using-

PID-controller-design-of-nonlinear-systems-using-

于 2014-10-31 发布 文件大小:224KB
0 227
下载积分: 1 下载次数: 3

代码说明:

  PID controller design of nonlinear systems using an improved

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • pitch
    自己编的一个利用自相关法求解基音周期的程序(own addendum to the use of an auto-correlation method Pitch procedures)
    2007-06-20 14:59:26下载
    积分:1
  • stbc_2x2_cfo0
    It is stbc 2x2 antenna configuration matlab code for wireless communication system.
    2013-08-13 14:09:26下载
    积分:1
  • sparse_test-master
    matlab源码,对稀疏编码算法的实现以及测试,内含详细程序。(The matlab source code, implementation and testing of sparse coding algorithm, containing detailed program.)
    2014-01-04 19:39:03下载
    积分:1
  • Particle-Swarm-Optimization
    粒子群算法的Matlab程序实现。不仅提供了源程序,还附带有详细的例子。对于初学者有极大的帮助。(PSO algorithm Matlab programming. Not only provides a source, also comes with detailed examples. There are a great help for beginners.)
    2014-09-03 10:56:11下载
    积分:1
  • 2013102244433157
    OFDM在瑞利信道下的误码率,使用matlab将OFDM在瑞利信道下进行仿真性能的效果(OFDM BER in Rayleigh channel using matlab OFDM in the Rayleigh channel simulation performance results)
    2013-11-24 23:15:28下载
    积分:1
  • mod_delay
    modulation demonstration of a sin wave
    2011-12-16 21:09:39下载
    积分:1
  • SingleH4_LC_Ic_Uc_innerloop_P_ok
    H4桥,光伏并网逆变器电压电流双环仿真模型(H4,solar grid inverter with voltage and current loop control)
    2012-01-19 10:04:28下载
    积分:1
  • vr
    说明:  matlab需需要的M文件,可以在里面调用买很好用没人穿就是,很可惜(files are needed by MATLAB)
    2011-11-05 14:39:22下载
    积分:1
  • Indirect-adjustment
    本资源是matlab的进行间接平差运算的源代码(This resource is the indirect adjustment calculation matlab source code)
    2013-12-03 20:51:33下载
    积分:1
  • IterativeClosestPointMethod
    ICP fit points in data to the points in model. Fit with respect to minimize the sum of square errors with the closest model points and data points. Ordinary usage: [R, T] = icp(model,data) INPUT: model - matrix with model points, data - matrix with data points, OUTPUT: R - rotation matrix and T - translation vector accordingly so newdata = R*data + T . newdata are transformed data points to fit model see help icp for more information (ICP fit points in data to the points in model. Fit with respect to minimize the sum of square errors with the closest model points and data points. Ordinary usage: [R, T] = icp(model,data) INPUT: model- matrix with model points, data- matrix with data points, OUTPUT: R- rotation matrix and T- translation vector accordingly so newdata = R*data+ T . newdata are transformed data points to fit model see help icp for more information )
    2007-09-09 16:06:34下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载