matlab-functions

matlab求解优先级排队系统，本例为两个带有优先级两个不带优先级的混合系统(matlab solving priority queuing system, in this case for the two hybrid system with a priority two and priority)

the article about DC motors and pid controller

随意用MATLAB制作宋词，DIY...............(Song produced using MATLAB random, DIY ...............)

针对粒子群优化算法应用于约束优化问题时易陷入局部极小值的问题, 提出了一种改进的粒子群优化算 法. 该算法综合了约束优化问题的目标函数值和约束函数的违反度值作为粒子群优化算法的双适应度值, 采用了 双适应值动态判断粒子群优化算法中粒子的优劣. 违反度值的计算引入了自适应加权系数, 相应地提出了调整各 权系数的自适应策略, 并改进了粒子群优化算法的粒子竞争选择策略, 拓展了粒子群优化算法的单适应值的应用 范围.应用约束自适应粒子群优化算法实现了城市水厂的节能优化调度. 结果表明, 该算法收敛速度快且结果可 靠. 粒子群优化算法为解决工程约束优化问题提供了一条可行途径(Considering that theparticleswarmoptimization( PSO) algorithmcanbeeasily trappedinto the local minimal valueinconstrainedoptimizationproblems, amodifiedconstrainedparticleswarmoptimiza
tionalgorithmwasproposed. Theobjective functionvalue andthe violationvalue of constraint functions wereeffectively combinedto formtwofitnesses, andthefitnesseswereadoptedto estimate if theparticle wassuperior or not ina dynamicway. Theadaptiveweight functionwasadoptedinthe calculationof the violationvalue. The strategy of keeping anadaptive relationof weight coefficientswasproposed, andthe strategyof swarmtournament selectionwasimproved. Theapplicationlocalizationsof thesinglefitnessof PSOwerewidenedaswell. ThemodifiedconstrainedPSOalgorithmwasappliedtosolveenergyoptimiza
tionproblemsof theurbanwater supplyprocess, whichshowedthat theconvergent speedof thealgorithm isfast andthe result isvalid. Afeasibleapproachto solvetheindustrial constraint optimizationproblems withPSOwasprovided.)

art CT成像追踪法源码 matlab实现(art CT)

BP神经网络控制一级倒立摆simulink仿真(BP neural network control an inverted pendulum simulink simulation)

DTMF 的 matlab 仿 真 实 现(DTMF implementation of matlab simulation)

Ecuacion necesaria para metodo de multiplicación

主要讲Matlab信号与系统方面的知识，对熟悉与了解MATLAB很有帮助(Matlab main speaker signal and system knowledge, and understanding to people familiar with MATLAB helpful)

由于求解中国邮递员、优化等图论问题的Matlab程序，还有相关的工具箱。(Since solving the Chinese postman, graph theory and optimization problems in Matlab, as well as the associated toolbox. )