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23825778dtc
异步电动机直接转矩控制基本原理及交流变频调速系统设计(Induction motor direct torque control and the basic principles of AC variable speed system design)
- 2010-07-11 16:53:15下载
- 积分：1
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Fading
采用eigen value来模拟各种衰落信道的源码程序，可以仿真瑞利衰落和AWGN叠加等等的情况。有详细注释。(Eigen value used to simulate a variety of fading channel the source program, you can simulation superimposed Rayleigh fading and AWGN and so on. Has detailed notes.)
- 2007-10-28 02:17:02下载
- 积分：1
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AndroidSendAlarmDatePicker
aplication full source
- 2014-08-07 10:51:08下载
- 积分：1
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Phased-Array-Design-
相控阵技术广泛应用于雷达、导航、声呐等领域，该文件为matlab及HFSS对相控阵的仿真，很经典(Phased array technology is widely used in radar, navigation, sonar and other fields, the file is matlab and HFSS simulation for phased array, classic)
- 2013-08-25 10:10:55下载
- 积分：1
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par_roll
船舶参数横摇模型，与实验数据曲线的对比，包括20组实验数据(Parametric Rolling Model of ship, and compared with the experimental data curve, including 20 groups of experimental data
)
- 2013-12-26 15:34:07下载
- 积分：1
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DNP5
计算配电网是否满足的辐射状约束,可以作为配电网重构的其中一个约束。(Calculated radial distribution network meets the constraints)
- 2021-04-28 16:58:44下载
- 积分：1
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GA_BAPcode
解决码头泊位分配问题，码头优化调度问题。(berth allocation incontainer terminal)
- 2021-03-05 16:29:31下载
- 积分：1
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p41wf4
竞争网络的matlab程序(Competing networks matlab program)
- 2007-07-26 12:11:58下载
- 积分：1
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含DG的配网无功优化计算研究
含DG的配网无功优化计算研究，包括风力发电和光伏电池微型燃气轮机和燃料电池(Distribution network with DG' s reactive power optimization studies, including micro-wind turbines and photovoltaic cells and fuel cells)
- 2021-03-08 23:39:28下载
- 积分：1
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D_star_PathPlanning-master
说明： 近年来，基于启发式的多目标优化技术得到了很大的发展，研究表明该技术比经典方法更实用和高效。有代表性的多目标优化算法主要有NSGA、NSGA-II、SPEA、SPEA2、PAES和PESA等。粒子群优化(PSO)算法是一种模拟社会行为的、基于群体智能的进化技术，以其独特的搜索机理、出色的收敛性能、方便的计算机实现，在工程优化领域得到了广泛的应用，多目标PSO(MOPSO)算法应用到了不同的优化领域[9~11]，但存在计算复杂度高、通用性低、收敛性不好等缺点。
多目标粒子群（MOPSO）算法是由CarlosA. Coello Coello等在2004年提出来的(In recent years, heuristic-based multi-objective optimization technology has been greatly developed, and research shows that this technology is more practical and efficient than classical methods. Representative multi-objective optimization algorithms mainly include NSGA, NSGA-II, SPEA, SPEA2, PAES and PESA. Particle Swarm Optimization (PSO) algorithm is an evolutionary technology based on swarm intelligence that simulates social behavior. With its unique search mechanism, excellent convergence performance, and convenient computer implementation, it has been widely used in the field of engineering optimization. The objective PSO (MOPSO) algorithm is applied to different optimization fields [9~11], but it has shortcomings such as high computational complexity, low versatility, and poor convergence.
The multi-objective particle swarm optimization (MOPSO) algorithm was proposed by Carlos A. Coello Coello et al. in 2004)
- 2021-04-17 17:50:13下载
- 积分：1
