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本文采用模糊数学和优化理论建立起一套预测模型由计算机自动预测电力负荷从而保证了预测结果的正确性和可信度通过对深圳市远景年电量预测的实例表明该方法是可行而有效的
-this fuzzy optimization theory and mathematical model to establish a set automatically by a computer forecasting electricity load so guarantee the accuracy of the resu
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a presentation on : Fuzzy MultiObjective Optimization
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文章简要介绍了模糊控制的概念和特点，并对模糊控制的原理作了说明，较详细的介绍了模糊控制的现状，包括模糊PID控制、自适应模糊控制、神经模糊控制、遗传算法优化的模糊控制、专家模糊控制等，最后对模糊控制的发展作了展望。-This paper briefly introduces the concept and characteristics of fuzzy control, and fuzzy control principle is illustrated in more detail the
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Ant Colony Optimization Incorporated With Fuzzy
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A fault identification with fuzzy C-Mean clustering
algorithm based on improved ant colony algorithm (ACA) is
presented to avoid local optimization in iterative process of
fuzzy C-Mean (FCM) clustering algorithm and the difficulty in
fault cl
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无人机飞行控制器PID参数优化的一篇外文论文，非常好的资料-UAV flight controller PID parameters optimization of a foreign language papers, very good information
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本文提出了EDiMƒ ESO(电气放电加工应用模糊进化策略优化)为一个多目标优化控制参数
在电火花机(EDM)。-This paper proposes EDiMƒ ESO (Electrical
Discharge Machine using Fuzzy Evolutionary Strategies
Optimization) as a multi-objective optimization to control parameters
in Electric
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induction motor efficiency optimization with fuzzy logic
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针对传统的PID 控制器参数固定而导致在控制中效果差的问题，提出一种基于模糊RBF 神经网络智能PID 控制器的设计方法。
该方法结合了模糊控制的推理能力强与神经网络学习能力强的特点，将模糊控制与RBF 神经网络相结合以在线调整PID 控制器参数，整
定出一组适合于控制对象的kp. ki. kd 参数。将算法运用到电机控制系统的PID 参数寻优中，仿真结果表明基于此算法设计的PID 控制器改善了电机控制系统的动态性能和稳定性。-Fixed for the traditional PID
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Type-1 fuzzy sets theory was proposed to handle uncertainty in control systems. But some
cases showed some liabilities of Type-1 fuzzy sets when facing with unpredictable
disturbance and uncertainties. Therefore Type-2 fuzzy sets was introduced
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本文提出了一种新的混合模糊动态速度反馈的粒子群的优化(HFDVF-PSO）解决经济调度问题的非光滑的成本考虑阀点效应和多种燃料选择功能。-This paper proposes a new Hybrid Fuzzy Dynamic Velocity Feedback Particle Swarm Optimization (HFDVF-PSO) for solving conomic Dispatch (ED) problem with non-smooth cost functions con
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Optimization of a gas turbine engine fuzzy control
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GENETIC
ALGORITHMS
FOR OPTIMIZATION
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该文设计了一种基于Matlab和模糊比例积分微分PID (proportional-integral-derivative)的汽车定速巡航控制系统,该巡航控制系统由模拟数字信号输入装置、定速巡航控制电子控制单元和节气门执行器等器件组成.为提高汽车巡航的精度和稳定性,提出了一种基于Matlab和模糊PID的自适应模糊控制方法,该控制算法在线优化模糊控制规则以及输出比例因子,既保留了传统模糊控制的优点,又有效改善了系统的控制品质,实车试验结果表明,试验车(上海大众帕萨特1.8 MT)在40、60、8
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CONTROL AND OPTIMIZATION OF FUZZY BASED MAXIMUM POWER
POINT TRACKING IN SOLAR PHOTOVOLTAIC SYSTEM
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A fuzzy multi-objective programming for optimization
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Abstract—This paper proposes a new strategy to meet the controllable
heating, ventilation, and air conditioning (HVAC) load
with a hybrid-renewable generation and energy storage system.
Historical hourly wind speed, solar irradiance, and load d
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模糊控制技术在异步电机直接转矩控制中的应用，采用模糊控制优化直接转矩控制性能。-Fuzzy Control Technology in Asynchronous Motor Direct Torque Control, fuzzy control optimization direct torque control performance.
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详细介绍了应用matlab实现模糊控制，以及遗传算法等优化算法的原理内容-Details of the application matlab fuzzy control and genetic algorithm optimization algorithms work content
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A Fuzzy-Particle Swarm Optimization Based Algorithm for Solving Shortest Path
Problem.
Abstract—In this paper, an efficient particle swarm
optimization (PSO) algorithm based on fuzzy logic for solving
the single source shortest path proble
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