matlablbq1

说明：  历年数学建模解题程序代码：电力分派与管理，MATLAB程序2(Mathematical modeling problem-solving year code: electricity distribution management, MATLAB program 2)

用matlab实现基于时间序列的最小二乘支持向量机预测，代码简单易懂，适合初学者使用(achieve the lssvm regression based on time series using matlab)

double penduluim control in simulink

说明：  维纳滤波器经典代码，加了详细标注，更适合阅读和改进。(Wiener filter classic code, add the detailed mark, more suitable for reading and improvement. )

　用水量预测在城市建设规划、供水系统的调度 管理中都具有重要作用。常用的预测方法可分为两 类,一类是解释性预测方法,即找出被预测量的各影 响因素,建立回归分析模型(Water demand in urban planning, regulation and management of water systems has an important role. Commonly used forecasting methods can be divided into two categories, one is an explanatory forecasting method, which is predicted to identify the amount of the influencing factors, a regression analysis model)

matlab纠错码编译原理之程序3 做实验时免去了手工输入的繁琐 和避免出错(matlab compiler theory of error-correcting code program 3)

报道了在掺钛蓝宝石环形激光器中加入非线性折射率 n2较大的 SF-57玻璃形成腔内可控 的 SPM效应 ,并引入适当的负 GVD,将脉冲宽度从 30 fs压缩至 16 fs,相应的脉冲压缩率为 47 (Join the nonlinear refractive index n2 reported greater SF-57 titanium sapphire glass ring laser cavity formed in a controlled The SPM effect, and the introduction of a suitable and negative GVD, the pulse width 30 fs compressed to 16 fs, corresponding pulse compression rate of 47 )

预观控制，以倒立摆模型为研究对象，通过预观控制方式实现倒立摆的平衡(Preview control inverted pendulum model for the study, pre-view of control inverted pendulum balance)

说明：  D-S证据理论数据融合算法基础程序，可改(he matlab implementation DS evidence theory code to achieve)

针对无线射频识别(radio frequency identification，RFID)系统的多标签碰撞问题，在分析RFID标签编码规则的基础上，提出根据标签编码规则进行标签分组和标签预淘汰的方法，在读写器识别的初始阶段根据特定的规则淘汰部分标签，从而减少系统工量，提高系统工作效率.实例证明：在不增加标签结构复杂度的基础上，充分利用已有的有效信息能够有效减少阅读器的查询次数和系统的总通信量．(For radio frequency identification (radio frequency identification, RFID) system is a multi-tag collision problem, based on the analysis of the RFID tag encoding rules based on the proposed label grouping and labeling pre-elimination method according to the label encoding rules identified in the initial reader phase-out of the label according to specific rules, thus reducing the amount of system engineering, to improve system efficiency examples demonstrate: the label without increasing the complexity of the structure on the basis of full and effective use of existing information can be effective in reducing the number of queries and reader total traffic of the system.)