MATLABCjiajia

给出了基于MGA算法和SGA算法的结果比较，得到所要求的函数优化结果。(MGA algorithm is given based on comparison of the results and SGA algorithms, function optimization to get the required result.)

a fuzzy washing machine controller which control the machine using the amount of being dirty and the volume!

定位技术是无线传感器网络中关键的基础支撑技术, 目前提出了许多静态网络的节点定位算 法, 移动无线传感器网络的定位研究相对较少. 针对定位节点和参考节点随机运动的网络模型, 提出了 一个基于动态网格划分的蒙特卡罗定位算法. 算法中当接收的参考节点数超过一定阈值时使用最远距 离节点选择模型, 选出部分参考节点参与定位和信息转发, 节约能耗. 接着基于选择的或所有接收的参 考节点构建采样区域, 进行网格划分, 使用网格单元数计算最大采样次数, 在采样区域内采样并使用误 差补偿的运动模型进行过滤, 提高了采样效率, 减少了计算开销, 并保证了较好的定位精度. 仿真实验表 明算法在定位精度, 计算开销、能耗等方面都具有较好的性能.(Positioning technology is critical in wireless sensor networks based supporting technologies, currently made many static network node localization algorithms, the positioning of mobile wireless sensor network research is relatively small. Locate node and a reference node for random motion network model, proposed a Dynamic meshing based Monte Carlo localization algorithm. algorithm when the received reference nodes exceeds a certain threshold, the most distant node selection model selects some reference nodes involved locating and forwarding information, save energy. then based on the selection or building all received reference node sampling area, meshing, the number of grid cells used to calculate the maximum sampling frequency, the sampling area sampling and using motion model error compensation filter to improve sampling efficiency, reducing the computational overhead and to ensure a better positioning accuracy. Simulation experiments show that the algorithm in positioning accuracy,)

基于递归最小二乘算法在线辨识锂离子电池一阶模型参数。(The first order model parameters of lithium ion battery are identified online based on recursive least square algorithm.)

不分集、STBC编码与最大比合并性能比较(Regardless of set, STBC coding and maximal ratio combining performance comparison)

matlab simulink 仿真，异步电机的直接转矩控制，磁链为六边形磁链(matlab simulink simulation, asynchronous motor direct torque control, flux hexagonal flux)

卷积码的编码实现以及维特比译码实现，其中函数用c编写(A matlab+mex implementation of a convolutional encoder and a Viterbi decoder)

说明：  这是本人在学习过程中自行学习编写的《优化阵列信号处理》中第三章后几个例题的程序，有需要的下。(This is the program of several examples in the third chapter of "optimized array signal processing" which I learned and compiled by myself in the learning process.)

ieee papers on image compression

In this paper a Conventional PD Controller and Fuzzy Neural Controller for trajectory tracking of mobile robot platform is presented. Using computed torque method is given input- torque on mobile robot wheels. The locomotion control structure is based on integration of kinematics and dynamics model of mobile robot base. The proposed Control scheme and Fuzzy Neural Algorithm could be useful for building an autonomous non-destructive testing system based on wheeled mobile robot. Fuzzy Neural Network-Rule base, is optimized using Genetic Algorithm. Simulations are done using Matlab software. Key words:Mobile Robot, Conventional, Fuzzy Logic, Neural Network, Genetic Algorithm, trajectory tracking,