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永磁同步电动机反推速度控制，很不错，控制效果很好(Backstepping speed permanent magnet synchronous motor control, very good)

leach matlab code for wireless sensor networks

基于公交上下客的客流OD矩阵推算，与参考文献所推数据完全一致。代码完全独创，实用价值高。(Transit OD Matrix estimation based on Passenger boarding and alighting. )

具有反馈控制的动力消振器的响应分析 利用MATLAB中的simulink对消振器进行仿真(With feedback control of dynamic absorber response analysis using MATLAB simulink in the simulation of the damper)

最新的压缩感知文章，从IEL上精选的，对从事压缩感知的同仁定有很大帮助。(Latest articles compressed sensing, selected from the IEL, compressed sensing colleagues engaged given great help.)

Fit time series Q(t) to a logistic function. Inputs (vectors of same size): t (time) & Q Outputs: Qpre (logistic model fit to data) and three independent parameters: thalf, Qinf, and a, describing the logistic Q(t) = Qinf/(1 + exp(-a*(t-thalf))) Qinf is value as t --> infinity thalf is time of symmetric inflection point a is time decay constant Written by James Conder, Southern Illinois University, Oct. 2010

层次分析法matlab源程序，用于判断矩阵等(AHP matlab source for judging matrix)

包括：用基本粒子群算法求解无约束优化问题，用带压缩因子的粒子群算法求解无约束优化问题，用线性递减权重粒子群优化算法求解无约束优化问题，用自适应权重粒子群优化算法求解无约束优化问题，用随机权重粒子群优化算法求解无约束优化问题，用学习因子同步变化的粒子群优化算法求解无约束优化问题，用学习因子异步变化的粒子群优化算法求解无约束优化问题，用二阶粒子群优化算法求解无约束优化问题，用二阶振荡粒子群优化算法求解无约束优化问题(Include: using the particle swarm algorithm for unconstrained optimization problems, with compression factor of particle swarm algorithm for solving unconstrained optimization problem with linear decreasing weight particle swarm optimization for unconstrained optimization problems, an adaptive weight particle swarm optimization unconstrained optimization problems, random weight particle swarm optimization algorithm for unconstrained optimization problems, with the learning factor synchronous change of particle swarm optimization algorithm for unconstrained optimization problems, with the learning factor asynchronous changes in particle swarm optimization algorithm for solving unconstrained optimization problem , with the second particle swarm optimization for unconstrained optimization problems, with the second-order oscillating particle swarm optimization algorithm for unconstrained optimization problem)

用于处理简单实验数据的曲线预测，可通过修改函数完成相关的插值或拟合工作(For curve prediction process simple experimental data, to be completed by the relevant interpolation or fitting work by modifying the function)

仿matlab colorbar 用于显示数值计算后的结果分布(Imitation matlab colorbar used to display numerical calculation of the distribution of results)