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TRANSFORMATION DE PARCK ABC TO DQ

I am uploading a file of Group-Based Medium Access Control for IEEE 802.11n Wireless LANs. Thanks and Regards, salman

基于蚁群算法的动态最优路径规划 (Dynamic optimal path)

用改进遗传算法求解TSP问题,并编制了完整的Matlab程序予以仿真实现.程序中选择算子采用最佳个体保存与赌轮选择相结合的策略,最后分析了最佳个体保存比例对寻优效果的影响. 更多还原 (Improved genetic algorithm for TSP, and the preparation of a complete Matlab simulation program to be achieved. Program, select the operator uses the best individual preservation and roulette wheel selection strategy of combining, the final analysis of the optimal ratio of individual saving optimization results impact. more reduction)

metodos numericos interpolacion segundo grado

The generating systems use Doubly-Fed Induction Generators (DFIGs) to achieve high conversion efficiency and to reduce the installation cost. This paper presents a modeling and Maximum Power Point Tracking (MPPT) control method of DFIG-based variable-speed wind energy conversion system. The generator considered is a wound rotor induction machine whose stator is connected directly to the grid and the rotor is fed through back-to-back Pulse-Width Modulation (PWM) converters. Stator flux-oriented vector control is applied to control the active and reactive current loops independently. The MPPT control method in a Wind Energy Conversion System (WECS) is proposed. The proposed control solution aims at driving the position of the operating point near to optimality. This is a very important aspect to maintain DFIGs efficiently in a variable wind speed. The wind generator is modeled in RSCAD program which is interfaced with the Real Time Digital Simulator (RTDS).

求解DEA　CCR BCC 超效率 matlab程序(Solve the DEACCR BCC super efficiency matlab program)

关于电力系统中潮流计算中的节点导纳矩阵Y的计算(Node Admittance Matrix Computation)

Nonlinear dynamical system analysis: pendulum with constant torkue. Phase portrait, solutions, homoclinic bifurcation analysis

说明：  基于局域法多步预报模型的混沌时间序列预报模型，对多个典型混沌序列的仿真测试表明，本算法具有良好的多步预测精度和较好的抗噪声能力(based multi-step prediction model of chaotic time series prediction model, a number of typical chaotic sequence of simulation tests show that the algorithm has a good multi-step forecast accuracy and better noise immunity)