登录
首页 » matlab » CHAP6_1

CHAP6_1

于 2006-11-22 发布 文件大小:1KB
0 288
下载积分: 1 下载次数: 37

代码说明:

  先进PID多变量控制 matlab仿真程序(advanced PID multivariable control Matlab simulation program)

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

  • PSO--MATLAB
    matlab编写 的pso代码,毕业设计源代码 ,是写论文的好资料(pso code, written by matlab graduation project source code, write good papers)
    2013-04-13 21:40:13下载
    积分:1
  • figsize
    用Matlab作图时,特别是所作的图是要用于科研论文投稿时,对图的大小有一定要求。但用缺省设置作图时,图的大小不能控制,而且常常有大块的空白。本程序可控制图的大小和位置,并能自动去掉空白。(Using Matlab mapping, especially of the map is to be used for scientific research papers submission, the size of the map has a certain requirement. However, when using default settings mapping, map the size of control, often have large gaps. This procedure can control the map size and position, and can automatically remove blank.)
    2008-02-03 12:22:53下载
    积分:1
  • p02
    digital band-pass filter with a bandwidth of 100 Hz, mean frequency 250 Hz, 0.1 db
    2009-10-13 21:38:06下载
    积分:1
  • lunwenwutu
    用matlab来评价金属元素污染程度,以判断污染的程度,其中污染的程度又分为不同等级。(use matlab to descripe metal)
    2011-09-10 18:53:00下载
    积分:1
  • gkclust
    it is a code for GKFCM clustering
    2011-12-04 23:38:02下载
    积分:1
  • identification
    iv methode system identification
    2010-07-18 21:09:55下载
    积分:1
  • PROSPECT4_Fortran
    用于叶片理化参量反演的PROSPECT模型,在遥感领域中应用(PROSPECT MODEL)
    2011-09-15 17:47:56下载
    积分:1
  • BPSX150sCharacteristics
    This simulink model contains the complete description of building PV MODEL OF BPSX150S power generation scheme.
    2012-08-12 23:36:46下载
    积分:1
  • WindyGridWorldQLearning
    Q-learning (Watkins, 1989) is a simple way for agents to learn how to act optimally in controlled Markovian domains. It amounts to an incremental method for dynamic programming which imposes limited computational demands. It works by successively improving its evaluations of the quality of particular actions at particular states. This paper presents and proves in detail a convergence theorem for Q,-learning based on that outlined in Watkins (1989). We show that Q-learning converges to the optimum action-values with probability 1 so long as all actions are repeatedly sampled in all states and the action-values are represented discretely. We also sketch extensions to the cases of non-discounted, but absorbing, Markov environments, and where many Q values can be changed each iteration, rather than just one.
    2013-04-19 14:23:35下载
    积分:1
  • pal
    matlab is good prgm for simulations and coding.do try this one
    2012-10-24 21:51:01下载
    积分:1
  • 696516资源总数
  • 106913会员总数
  • 8今日下载