登录
首页 » matlab » Control-System-Toolbox-8.2_

Control-System-Toolbox-8.2_

于 2011-05-24 发布 文件大小:8973KB
0 106
下载积分: 1 下载次数: 141

代码说明:

  控制工具箱文件压缩包,从matlab里toolbox文件夹复制出来的。(Control System Toolbox 8.2_.zip)

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

  • Dipole-and-monopole
    偶极子和单极子的馈电模型,表面电流分布,辐射强度分布,辐射方向图,以及加载阻抗(Dipoles and monopoles feed model, the surface current distribution, radiation intensity distribution, radiation pattern, and the load impedance)
    2020-12-29 21:49:01下载
    积分:1
  • pso
    PSO or particle swarm optimization code in MATLAB
    2012-11-01 17:23:35下载
    积分:1
  • radar
    自己编的一个雷达面显示程序,主要练习的是划线函数的使用技巧(radar,for fun,)
    2009-03-09 15:56:44下载
    积分:1
  • MATLABProgrammingForEngineers
    详细讲述了如何用matlab进行程序设计,如何编写高效的程序。(Describe in detail how to use matlab program design, how to write efficient programs.)
    2012-11-13 23:53:08下载
    积分:1
  • sourceANDchannel_decoding
    channel decoding in matlab
    2010-11-08 06:21:18下载
    积分:1
  • jpeg
    matlab实现jpeg编解码,对学习jpegde 很有帮助(jpeg codec matlab implementation of the study jpegde helpful)
    2009-03-25 21:16:36下载
    积分:1
  • ravesh_1
    fault diagnostic of induction machine via intelli
    2014-08-21 13:41:26下载
    积分:1
  • LCL_Filter_Design
    LCL型滤波并网逆变器双环控制参数设计与优化,对工程实践的指导作用明显(LCL type filter and inverter loop control parameter design and optimization, the guiding role of engineering practice significantly)
    2013-12-24 20:59:46下载
    积分:1
  • template2
    这是新修改过的matlab程序基于EMD降噪的改进版本,希望对大家有帮助,谢谢(This is the new modified matlab program based on an improved version of EMD noise, we want to help, thank you)
    2013-05-30 11:45:32下载
    积分:1
  • hsmm
    说明:  隐马尔科夫模型是关于时序的概率模型,描述由一个隐藏的马尔科夫链随机生成不可观测的状态随机序列,再由各个状态生成一个观测而产生观测序列的过程。隐藏的马尔科夫链随机生成的状态的序列,称为状态序列;每个状态生成一个观测,而由此产生的观测的随机序列,称为观测序列。马尔科夫链由初始概率分布、状态转移概率分布以及观测概率分布确定(The hidden Markov model is a probabilistic model for time series. It describes the process of randomly generating unobservable state random sequences from a hidden Markov chain, and then generating an observation by each state to produce an observation sequence. A sequence of randomly generated states of hidden Markov chains, called a sequence of states; each state produces an observation, and the resulting random sequence of observations is called an observation sequence. Markov chain is determined by initial probability distribution, state transition probability distribution and observation probability distribution)
    2019-05-27 12:01:38下载
    积分:1
  • 696518资源总数
  • 104269会员总数
  • 42今日下载