MATLABpaneldataanalysiscase

说明：  Euler method for differential equation

ofdm ber using matlab for qpsk

Replacement for normprod that correctly treats 0, Inf, -Inf in the weights.

说明：  自己编写的kalman滤波算法的应用，应用于惯性导航系统初始对准中，运动基座(I have written the application of kalman filtering algorithm used in inertial navigation system in the initial alignment, sports base)

模糊PID自适应控制,希望大家给出建议 (fuzzy pid control)

采用基于理想频谱响应的微分器，用于位置微分速度，并统计误差(The differentiator response based on an ideal spectrum for position differential speed, and the statistical error)

使用qam星座调制方式下的，空时编码STBC的误码率(BER)仿真(The use of QAM modulation constellation manner, the space-time coding STBC BER (BER) simulation)

MATLAB基础与应用实例集粹 模糊逻辑工具箱的使用 Simulink仿真与电路分析应用( Basis and application example highlights MATLAB fuzzy logic toolbox of using Simulink simulation and circuit analysis applications )

Co-Optimization of Generation Unit Commitment and Transmission Switching With N-1 Reliability

该matlab代码实现了“综合多分支分裂式层次化聚类” (Matlab implementation of Omnibus Multi-Branching Divisive Hierarchical Clustering (OMBDHC) “A competitive omnibus performance criterion for divisive multi-branching hierarchical clustering” by Soeria-Atmadja et al. (submitted). Note that OMB-DHC package is implemented in Matlab code and therefore demands the Matlab core program, as well as the Statistics toolbox of Matlab. Divisive hierarchical clustering (DHC) has emerged as a promising alternative for the identification of sub-structures in multivariate data. Of particular interest is multi-branching DHC, which allows flexible numbers of subclusters at each hierarchical level. One poorly explored issue in multi-branching DHC concerns the actual importance of the two performance criteria (and their associated algorithms) to automatically create clusters and select number of clusters, respectively. Another interesting but hitherto unexplored issue is the possibility to employ a single omnibus performance criterion that guide)