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PSO_

于 2010-07-30 发布文件大小:12KB

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PSO算法的实现。寻找搜寻范围内的最优解。(PSO algorithm. Search within to find the optimal solution.)

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AppControls
Supported Languages: Afrikaans, Albanian, Arabic, Azerbaijani, Basque, Belarusian, Bengali, Bulgarian, Catalan, Cherokee, Chinese (Simplified and Traditional), Croatian, Czech, Danish, Dutch, English, Esperanto, Estonian, Finnish, Frankish, French, Galician, German, Greek (Ancient and Modern), Hebrew, Hindi, Hungarian, Icelandic, Indonesian, Italian (Ancient and Modern), Japanese, Kannada, Korean, Latvian, Lithuanian, Macedonian, Malay, Malayalam, Maltese, Middle English, Middle French, Norwegian, Polish, Portuguese, Romanian, Russian, Serbian, Slovakian, Slovenian, Spanish (Ancient and Modern), Swahili, Swedish, Tagalog, Tamil, Telugu, Thai, Turkish, Ukrainian, Vietnamese

2015-02-21 10:10:57下载

积分：1
QPSK_TRANSMITTER
M-file for simulating a QPSK transmitter by modulating with a pseudo random bit stream. A serial to parallel conversion of the pseudo random bit stream is performed with mapping of two bits per symbol. A cosine and sine carrier is configured and the I and Q symbols modulate these carriers. The I and Q carriers are combined and time and frequency domain plots are provided showing key waveforms at various positions in the QPSK transmitter. (M-file for simulating a QPSK transmitter b y modulating with a pseudo random bit stream. A s erial to parallel conversion of the pseudo rand om bit stream is performed with mapping of two bi ts per symbol. A cosine and sine carrier is CBMs gured and the I and Q symbols Modulate these CARR IERS. The I and Q carriers are combined and a time nd frequency domain plots are provided showing key waveforms at various positions in the QPSK t ransmitter.)

2006-06-20 03:22:04下载

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5
说明：运动载体的定位与导航一般应用Kalman滤波算法。可靠的Kalman滤波算法要求有可靠的函数模型、随机模型以及合理的估计方法。实际情况中运动载体一般难以确保规则运动，因而精确的函数模型的构造十分困难。近年来，有不少学者对机动载体运动模型进行了讨论，所属内容各具特点，建立的各种模型包括微分多项式模型、常速度模型、常加速度模型、时间相关模型，半马尔柯夫模型、 Noval统计模型及机动载体的“当前”统计模型(Moving vehicle positioning and navigation general application of the Kalman filter algorithm. Kalman filter algorithm requires a reliable function model, a stochastic model, as well as a reasonable estimation method. Moving carrier in the actual situation is generally difficult to ensure a regular motion, and thus the the precise function model structure is very difficult. In recent years, many scholars have discussed the movement of the motor carrier model, each with distinct characteristics of their respective content, establish various models including the differential polynomial model, constant velocity model, constant acceleration model, time-dependent model, semi-Markov model, Noval statistical model and motor carrier &quot current&quot statistical model)

2013-03-29 11:32:19下载

积分：1
dcd
说明：大尺度衰落的仿镇(large-scale replica of the town decline)

2006-04-30 10:41:24下载

积分：1
qiantuihuitui
运用前推回推法进行配电网潮流计算。附有33母线系统数据，以供检验。程序没有考虑电容器、分布式电源，以及弱环网的影响。(Before using push back push power flow calculation method. With 33 bus system data for testing. The program does not consider the capacitor, distributed power, and the impact of the weak ring network.)

2014-09-26 19:48:21下载

积分：1
2.-Instalar_toolbox
training matlaba brodf

2012-10-25 15:08:04下载

积分：1
meterial
利用matlab和最后破坏准则对复合材料层合板的强度破坏判断(Using matlab and the final failure criterion for composite laminates to determine the intensity of damage)

2011-01-07 21:07:10下载

积分：1
VQ
说明： Matlab for VQ 向量量化編碼(Matlab for VQ vector quantization)

2013-04-12 20:18:18下载

积分：1
2014-SHUXUEJIANMO-D-1
2014年全国研究生数学建模竞赛D题第一问：重要果蔬筛选-规划问题。(2014 national study mathematical modeling contest D first asked: an important fruit and vegetable screening- Programming problem.)

2015-02-26 21:27:31下载

积分：1
Fuzzy-PID-dual-mode-control-system
交流位置伺服系统因其存在参数时变、负载扰动以及电机的非线性等缺点，很难为其建立准确的模型. 模糊（ fuzzy）控制具有无需建立被控对象的数学模型、鲁棒性好等优点，但稳态精度差. 将模糊控制和PID 控制相结合，设计了Fuzzy-PID 双模控制器. 在论域内用不同的控制方式分段实现控制，这样就综合了模糊控制和PID 控制的优点，克服了各自的缺点. 该控制器结构简单、易于实现. 在半闭环交流位置伺服系统上所做的实验表明，采用Fuzzy- PID 双模控制器与采用经典PID 控制器相比，阶跃响应的调整时间减少了33. 7 ，并且无超调，轨迹跟踪误差减小了47. 2 .(AC servo system because of the presence of parameter variations, load disturbances and non-linear motors and other shortcomings, it is difficult to establish accurate models for fuzzy (fuzzy) control without having to build a mathematical model of controlled object, robustness and good However, steady-state accuracy is poor. fuzzy control and PID control are combined to design a dual-mode Fuzzy-PID controller in the sub-region to achieve control on the different control methods, so that a combination of fuzzy control and PID control advantages to overcome their disadvantages. simply the controller structure, easy to implement. experiments on semi-closed loop AC servo system did show that the Fuzzy-PID controller is compared with the classic dual-mode PID controller, step response The adjustment time is reduced by 33.7 , and no overshoot, tracking error is reduced 47.2 .)

2014-05-26 19:12:10下载

积分：1

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