搜索资源列表
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MIMO系统的功率优化问题，通过SVD分解和注水算法，可以实现不同发送天线上的功率分配。-MIMO system power optimization problem, and through the decomposition of water injection SVD algorithm can achieve different this antenna on the power distribution.
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单级倒立摆LQR控制仿真 最优控制理论主要通过对性能的优化寻找可以使目标极小的控制器-Inverted Pendulum Control Simulation of LQR optimal control theory, mainly through the optimization of the performance objectives can find a very small controller
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OptWoPC: optimization code without power control
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matlabb标准粒子群优化算法。
电力系统的分析和计算中，需要不同网络结构和参数。在应
用这些参数之前，收集和整理工作会花费大量的时间和精力。-matlabb standard particle swarm optimization. Power system analysis and calculation, require different network structures and parameters. Before applying these parameters,
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基于遗传算法的电力系统无功优化程序，可以帮您更好的进行电力系统的优化电力虚拟系统无功能-Based on genetic algorithm for reactive power optimization program that can help you make better optimization of power system non-functioning power virtual systems
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这是用Powertop测试程序功耗的3个对比程序。polllast是原始不符合功耗优化的程序，sleeplast和timerlast是按功耗优化的程序-This is the power three contrast procedures Powertop test procedures. polllast the original does not meet the power optimization procedure, sleeplast, and timerlast power opt
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运用粒子群算法解决电力系统无功优化问题,粒子群算法是一种可以解决有约束单目标最优化问题-Use the PSO to solve the reactive power optimization
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本来基于matlab遗传工具箱gatool编写的求解IEEE30节点无功优化的程序。-The solving IEEE30 bus have been prepared based on matlab genetic toolbox gatool of reactive power optimization procedures.
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mimo功率优化MIMO系统的功率优化问题，通过SVD分解和注水算法-mimo power optimization the MIMO system power optimization problem, SVD decomposition and water-filling algorithm
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基于蚁群算法matlab无功优化 可以参考-Ant colony algorithm matlab Reactive Power Optimization
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带约束因子的粒子群算法在电力系统无功优化中的应用-Constrained factor PSO in Reactive Power Optimization
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禁忌搜索算法计算电力系统无功优化，计算并联电容器的安装位置和容量-Tabu search algorithm calculates reactive power optimization calculation shunt capacitor installation location and capacity
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MATLAB 遗传算法 这是一个用于无功优化的人工智能程序算法 -MATLAB genetic algorithm This is a used in reactive power optimization algorithm of artificial intelligence programs
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基于遗传算法的电力系统无功优化 基于遗传算法的电力系统无功优化-Power System Based on Genetic Algorithm of Reactive Power Optimization
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用于电力系统的潮流计算和无功优化程序，考虑风光接入配电网潮流计算。-Flow calculation for power system and reactive power optimization program, taking scenery access to distribution power flow calculation.
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基于遗传算法配电网无功优化方法程序源代码-Based on Genetic Algorithms for Reactive Power Optimization of source code
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reactive power problem
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基于遗传算法的含分布式电源的配电网无功优化.-The reactive power optimization of distributed power distribution network based on the genetic algorithm
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改进的粒子群算法可以用于计算无功优化问题的MATLAB编程-Improved particle swarm optimization (pso) algorithm can be used to calculate reactive power optimization problem of MATLAB programming
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建立了基于模型预测控制的配电网多时间尺度无功优化模型，包含日前优化调节层和实时滚动调控层。日前优化侧重于运行经济性，协调配合不同类型无功设备进行大尺度无功调节，并预留充足动态无功储备响应动态调控，降低运行风险；实时滚动调控侧重于系统运行可靠性。(A multi-time scale reactive power optimization model for distribution network based on model predictive control is established,
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