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419-Mahdi
- This paper presents an improved maximum power point tracking (MPPT) algorithm of a PV system under real climatic conditions. The proposed MPPT is based on the perturbation and observation (P&O) strategy and the variable step method that contr
convertermat
- Embedded applications have emerged appreciably during the past few years due to the considerable increase of nomad and traveller ways of life. These itinerant lifestyles induce the apparition and development of more and more portable and autono
matlabtoconver
- Embedded applications have emerged appreciably during the past few years due to the considerable increase of nomad and traveller ways of life. These itinerant lifestyles induce the apparition and development of more and more portable and autono
Advanced_Setpoints
- This report considers trajectory planning with constrained dynamics and design of an appropriate feedforward controller for single axis motion control. A motivation is given for using model-based fourth order feedforward with fourth order traject
single inverter
- The SolarEdge PV inverter combines sophisticated digital control technology with efficient power conversion architecture to achieve superior solar power harvesting and best-in-class reliability. The fixed-voltage technology ensures the solar inverte
idma_opt_pc
- this paper is about in new thechnique in 3 generation it is in Optimal Transmitter Power Control in Interleave Division Multiple Access (IDMA)
[Draguna_Vrabie-_Kyriakos_G._Vamvoudakis-_Frank._
- Optimal Adaptive Control and Differential Games by Reinforcement Learning Principles
Markov_copula_code
- Energy consumption is a significant issue in ad hoc networks since mobile nodes are battery powered. In order to prolong the lifetime of ad hoc networks, it is the most critical issue to minimize the energy consumption of nodes. In this paper, we
KLMAN
- 简单来说，卡尔曼滤波器是一个“optimal recursive data processing algorithm（最优化自回归数据处理算法）”。对于解决很大部分的问题，他是最优，效率最高甚至是最有用的。他的广泛应用已经超过30年，包括机器人导航，控制，传感器数据融合甚至在军事方面的雷达系统以及导弹追踪等等。近年来更被应用于计算机图像处理，例如头脸识别，图像分割，图像边缘检测等等。-In simple terms, the Kalman filter is an optimal recurs
simulation-files
- this file contain 5 simulation file in matlab siftware 1- motor control with fuzzy 2-MPPT with fuzzy 3-lightning protection 4-Mass- Spring model simulation 5-Optimal power flow with PSO
ClippedOptimalforAlpha
- 磁流变限界半主动最优控制：采用基于状态反馈线性二次最优控制算法可确定半主动控制中所需的最优控制力-clipped optimal semi-active control algorithm
PID-genetic-algorithm
- 代码的主要功能是利用遗传算法调节PID控制参数，使PID控制效果最优-The main function of the code is to regulate the use of genetic algorithm PID control parameters to optimal PID control effect
path-planning
- 针对自治水下机器人(AUV)的路径规划问题进行了研究,依据模糊控制规则,提出了一种基于粒子群优化(PSO)的模糊路径规划算法.首先建立水下水平面内路径规划的模糊规则,并应用A/B模型进行静态和动态障碍物的避障.同时考虑到模糊边界的选择具有很大的随意性,所生成的路径并非最优,利用PSO算法进行模糊集合的优化,使得最终生成的路径最优.应用设计的粒子群优化模糊(PSO-fuzzy)算法针对动静态障碍物进行了避障路径规划,仿真结果验证了所设计的方法的有效性.-The study was conducte
Main
- Abstract—Demand Response (DR) and Time-of-Use (TOU) pricing refer to programs which offer incentives to customers who curtail their energy use during times of peak demand. In this paper, we propose an integrated solution to predict and re-engin
qpso
- 该算法是以粒子群中粒子的收敛特性为基础,依据量子物理理论提出的,改变了传统粒子群算法的搜索策略,可使粒子在整个可行解空间中搜索寻求全局最优解。同时该算法的进化方程中不需要速度向量,而且进化方程的形式更简单,参数较少且容易控制。对两个算例进行仿真测试,证实该算法可有效解决经济负荷分配问题 性能对比显示,该算法求得的解优于已有的改进粒子群算法及其它优化算法所求得的解。-The algorithm is based on convergence particle swarm particle basi
FXunion.com_EA999
- 内含2个EA，全自动EA周期是M5，半自动EA不限周期。支持任意货币对。黄金的全自动EA需要手动调制参数。 智盈操盘手EA智能交易系统是由资深EA开发团队与外汇私募团队强强联合自主研发的新一代EA智能交易系统，该系统整合优化了常规交易策略及技术指标为一体，是一款全面化、多元化、智能化的先进智盈操盘手，是广大交易者的最佳交易助手。智盈操盘手交易系统独有的菜单式控制程序、分析工具、风险管理技术，都给交易员带来了快捷、方便、精准、安全的效果和体验，是MT4首选EA交易工具！该软件一投入市场就
H
- H无穷控制，使得控制状态对干扰的2范数比最优,应用于非线性控制，还有绘图程序-H infinity control, so that the control state 2 norm than optimal nonlinear control applied to the disturbance, and drawing program
danpianji
- 基于单片机的家用制氧机电控系统优化设计，具有很高的参考价值。-Optimal Design of home oxygen microcontroller-based electrical control system, high reference value.
MDPgridworldExample
- 世界是空格自由（0）或障碍物（1）。每转动机器人可以在8个方向移动，或者留在地方。奖励功能，给人一种自由空间，目标定位，高回报。所有其他空格自由具有小的损失，和障碍具有大的负的奖励。值迭代是用来学习的最佳“政策”，即指定一个控制输入到每一个可能的位置的功能。- The world is freespaces (0) or obstacles (1). Each turn the robot can move in 8 directions, or stay in place. A reward
simulation-paper(2)
- Optimal and adaptive control for a kind of 3D chaotic and 4D hyper-chaotic systems