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These set of programs are written to design a robust power system stabilizer for minimizing the effects of low frequency oscillations in electric power systems. A complete nonlinear model of the power system represented by a single machine connected
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A PI Type Fuzzy-neural Network Controller for Induction Motor Drives
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摘要：为了减少先验知识对统一潮流控制器中模糊规则的设计和电力系统参数的变化对统一潮流控制器性能的影响， 文中采用模糊神经网络来设计统一潮流控制器-Abstract: In order to reduce a priori knowledge of the unified power flow controller in the fuzzy rules in the design and power system parameters on the unified power flow contr
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PID控制算法简单、鲁棒性强，但其参数整定过程繁琐，整定时需要控制对象的精确数学模型，而且整定往往是针对某一种具体工况进行的，缺乏自学习和自适应能力。模糊神经网络则兼备了模糊逻辑和神经网络的优点，具有函数逼近功能，具有较强的自适应、自学习能力、容错能力和泛化能力。借助于遗传算法对全局性参数进行优化设计，借助于BP算法对局部性参数进行优化，将模糊神经网络和遗传算法引入PID控制参数的整定过程，构造出一种基于模糊神经网络和遗传算法的智能PID控制器-Intelligent controller ba
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In This paper, the authors propose a Sensorless Direct Torque and Flux Control (DTFC) of
Induction Motor (IM) using two approach intelligent techniques: Mamdani Fuzzy Logic (FL)
controller is used for controlling the rotor speed and Artificial Ne
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基于ADMC_401的三相交流感应电机的SVPWM变频调速研究，通过对感应电动机的矢量控制原理分析, 提出了一种PID神经元网络控制器-SVPWM variable frequency speed control studies based ADMC_401 three-phase AC induction motor, induction motor vector control principle analysis, proposed a PID neural network control
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智能控制；BP神经网络算法；PID控制器MATLAB 仿真-Intelligent Control BP neural network algorithm MATLAB simulation, the PID controller
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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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神经网络的集体自动控制器代码集合，比如与PID、cmac、粒子群算法等集合-Collective neural network controller code set, such as the collection of PID, CMAC, particle swarm algorithm
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基于神经网络的模糊PID料筒温度的控制器
-Fuzzy Barrel Temperature PID Controller Based on Neural Network
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一种新的PID型模糊神经网络控制器的研究,
带Smith预估器的改进遗传算法
-A New PID-type Fuzzy Neural Network Controller based on Genetic Algorithm with improved Smith Predictor
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模糊神经网络可用于模糊回归、模糊控制器.-Fuzzy neural network can be used for fuzzy regression, fuzzy controller
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An Artificial Neural Network Based Robot Controller that Uses Rat’s Brain Signals
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This paper proposes a new MPPT controller. The proposed
MPPT controller is based on genetic algorithm (GA) optimized
artificial neural network (ANN). For the simulation purpose an
improved model of SPV is used. The MPPT is simulated and
studi
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The paper deals with a controller design for the nonlinear processes using genetic
algorithm and neural model. The aim was to improve the control performance using
genetic algorithm for optimal PID controller tuning. The plant model has been
id
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Tuning PID Controller by Neural Network for Robot Manipulator
Trajectory Tracking
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PID神经网络控制器的设计，用神经网络的自学习能力，在线整定PID控制器的参数。-Design of PID neural network controller, with self-learning ability of neural network, on-line tuning parameters PID controller.
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Design of PID controller of BP neural network based on DSP
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Artificial Neural Network-Based Controller for
Permanent Magnet Synchronous Motor Servo System
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In this paper, we try to use feedback control system as a
new hybrid method to solve optimization problems. Because
controller can control plant for a goal, if the plant is replaced
by the cost function and the goal is changed to be solving
o
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