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paperpublis
This paper presents a fuzzy tuning approach to sliding mode control for tracking-performance enhancement in a class of nonlinear
systems. The sliding surface can rotate or shift in the phase space in such a direction that the tracking behaviour can be improved. It is
shown that with arbitrary initial conditions, the reaching time and tracking error in the approaching phase can be signi辌antly
reduced. Chattering can also be reduced by fuzzy tuning of the controller parameters
- 2011-02-16 04:34:17下载
- 积分：1
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SANSHE
这个程序是杨儒贵研究生教材《高等电磁场理论》中的程序，讲解电磁场后向散射(This procedure is expensive Yang Ru graduate textbook "Advanced Electromagnetic Field Theory" program, to explain electromagnetic backscatter)
- 2013-11-11 01:00:09下载
- 积分：1
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wanghaidong
2PSK和 2DPSK信号的调制与解调性能比较分析(Comparative analysis of modulation and demodulation performance and 2DPSK signal 2PSK)
- 2013-11-23 15:53:46下载
- 积分：1
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mfcc
通过语音识别对类型进行分类，使用HMM-GMM模型(Classification is done by speech recognition, using HMM-GMM model.)
- 2021-02-02 18:30:00下载
- 积分：1
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fastISM
生成室内冲击响应的方法，使用的是image方法，matlab(Room impulse response method of generating)
- 2010-07-19 23:52:05下载
- 积分：1
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5
说明： describe the file once again
- 2011-06-23 18:10:06下载
- 积分：1
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tianxianyuanli
matlab在天线原理中的应用，求出辐射电阻，方向系数，E面方向图 ，HPBW(matlab antenna theory, find the radiation resistance, directivity, E-plane pattern, HPBW)
- 2012-06-17 15:43:30下载
- 积分：1
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ROOT_MUSIC_DOA
简洁但是经典的Root Music DOA 算法,是用多项式求解的方法来寻找DOA(Direction of Arrival )(simple but classic Root Music DOA algorithm, is the polynomial method to find DOA (Direction of Arrival))
- 2007-03-30 00:14:54下载
- 积分：1
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Proficient-in-Matlab-guidance-
精通Matlab综合辅导与指南的源程序代码(Proficient in Matlab comprehensive counseling and guidance source code)
- 2012-05-24 09:26:13下载
- 积分：1
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Pso
模拟一群鸟捕食的情景，从而达到优化目标函数的目的，这就是粒子群算法！起初在可行的空间中随机的产生一群粒子，然后让每个粒子开始在虚拟的空间中向四面八方飞翔，并且每个粒子都记下他们飞过的适应值（也就是目标优化函数）最高的点，而且整个粒子群有一个最高适应值个体，这样，粒子在飞翔的时候尽量朝向自己曾飞过的最好的点和集体的最好的点。最后达到收敛到近似最优点的目的。
(Simulation of a group of birds preying on the scene, so as to achieve the purpose of optimizing the objective function, that is, PSO! At first, where feasible, have a space in a group of random particles, and then let the beginning of each particle in a virtual space to fly in all directions, and each particle they have in mind over the fitness value (that is objective optimization function) the highest point , and the whole particle swarm adaptation has a maximum value of the individual, so that particles in the fly when he had flown as far as possible towards the best point and collective best point. Finally reaching the merits of convergence to approximate most purposes.)
- 2007-10-24 14:45:05下载
- 积分：1
