pso

Matlab Code for Biomimicry for Optimization, Control, and Automation.

这个matlab程序通过标准的hough变换，并指定圆半径的情况下，在二值图像中检测圆。(The matlab program through standard hough transform, and specify the radius, the two values in the detection of circular images.)

modelo dinamico robot

借鉴了主成分分析算法（PCA），IMC-PID是利用内模控制原理来对PID参数进行计算，数据模型归一化，模态振动。( It draws on principal component analysis algorithm (PCA), The IMC- PID is using the internal model control principle for PID parameters is calculated, Normalized data model, modal vibration.)

台湾的贝苏章的离散分数阶fourier算法的源码(Taiwan Beisu Chapter discrete fractional fourier algorithm source code)

用matlab写的有限元程序，经典中的经典！！！！谢谢！(Matlab write the finite element program, the classic of classics! ! ! ! Thank you!)

ieee paper on sensor routing

文件包含一个混合电动汽车模型，使用SimSCAPE、SimSCAPE电子学、Simscape Driveline和SimSCAPE电力系统构建，这些系统可以被配置为系统级测试或电能质量分析。可以使用不同的子系统来选择电气、电池和车辆动力学系统的模型变型。将SimSCAPE语言创建的电池模型结合到模型中。监控逻辑是用StaseFuffic实现的。该模型可以配置为硬件在环测试。(This file contains a hybrid-electric vehicle model built using Simscape, Simscape Electronics, Simscape Driveline, and Simscape Power Systems that can be configured for system-level tests or power quality analyses. Model variants for the electrical, battery, and vehicle dynamics systems can be selected using variant subsystems. A battery model created with the Simscape language is incorporated into the model. Supervisory logic is implemented with Stateflow. This model can be configured for hardware-in-the-loop testing.)

D2D underlay Matlab simulator.

文章展示了一种新的方法用于功率系统中短期负载预测。提出的方案使用混沌时间序列分析基于确定性混沌去捕捉复杂的负载行为特征。确定性的混沌允许我们重构一个时间序列并决定输入的变量个数。这篇文章描述了混沌时间序列对日间功率系统峰值的分析。确定性混沌的非线性图形通过多层感知器的神经网络得到。提出的方案在一个例子中具体阐述。(This paper presents a new approach to short-term load forecasting in power systems. The proposed method makes use of chaos time series analysis that is based on deterministic chaos to capture characteristics of complicated load behavior. Deterministic chaos allows us to reconstruct a time series and determine the number of input variables. This paper describes chaos time series analysis of daily power system peak loads. The nonlinear mapping of deterministic chaos is identified by the multilayer perceptron of an artificial neural network. The proposed approach is demonstrated in an example.)