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PID神经元网络解耦控制算法_多变量系统控制,一共6个文件-PID neural network decoupling control algorithm _ multivariable control system, a total of 6 documents
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Optimized Neural Network Speed Control of Induction Motor using Genetic Algorithm.
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《智能预测控制及其MATLAB实现(第2版)》系统地论述了神经网络控制、模糊逻辑控制和模型预测控制的基本概念、工作原理、控制算法,以及利用MATLAB语言、MATLAB工具箱函数和Simulink对其实现的方法。该书取材先进实用,讲解深入浅出,各章均有相应的例题,并提供了大量用MATLAB/Simulink实现的仿真实例,便于读者掌握和巩固所学知识。-Intelligent predictive control and MATLAB (2nd edition) described the neu
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电液位置伺服系统的模糊神经网络控制Electro hydraulic position servo system based on fuzzy neural network control-Electro hydraulic position servo system based on fuzzy neural network control
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模糊神经网络光伏功率调节系统Fuzzy neural network control system of photovoltaic power-Fuzzy neural network control system of photovoltaic power
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模糊神经网络控制的英文论文,主要要用于机器人跟踪控制问题可直接使用。
-Fuzzy Neural Network Control of the English papers, mainly used for tracking control of robot complete source code can be used directly.
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单变量控制 神经网络控制 PID matlab仿真-Single-variable control neural network control PID matlab simulation
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神经网络控制 徐丽娜 多变量控制系统以及辨识-Neural network control of the the Lina multi-variable control system and identification
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智能控制 模糊控制 神经网络控制序号 多变量控制系统设计-Intelligent control fuzzy control of multivariable control system design of the neural network control of serial number
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Neuron Optimization Based PID Approach for Cutting Force Control
S. Jiang1,a, Y.S. Xu1 and J. Wu1
1School of Mechanical Engineering, Tianjin University, Tianjin, 300072, China
ajs73@eyou.com
Keywords: Cutting process, Neural network control,
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对于学习神经网络控制的同同志具有参考价值,共同分享
-A reference value, shared learning neural network control with comrades
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机器人神经网络控制之RBF网络的逼近,内有mdl模型和s-fun函数。-Robot neural network control of RBF network approximation within mdl model and s-fun function.
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智能控制中遗传算法和BP神经网络程序-Intelligent control of genetic algorithm and BP neural network program..
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神经网络控制是80年代以来,在人工神经网络研究取得的突破性进展基础之上,发展起来的自动控制领域的前沿学科之一-The neural network control is one of the frontier disciplines of the field of automatic control since the 1980s, achieved a breakthrough in artificial neural network research foundation, develope
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《神经网络设计》本书介绍了神经网络的基本结构和学习规则,重点是对这些神经网络的数学分析,训练方法和神经网络在模式识别、信号处理以及控制系统等工程实践问题中的应用-The book introduces the basic structure of the neural networks and learning rules focus on the mathematical analysis of these neural networks, training methods and neura
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matlab实现的BP神经网络控制,和图形仿真-the matlab realize BP neural network control, and graphical simulation
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神经网络控制的一些有用程序,主要有BP,RBF等算法的系统辨识和控制-Neural network control some useful procedures and system identification and control algorithms such as BP, RBF
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使用神经网络实现对一阶倒立摆的控制。其中包含simulink连接图、神经网络程序、最终结果。-Using neural network to achieve a first-order inverted pendulum control. Contains simulink connection diagram, the neural network program, the final result.
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基于pso算法的matlab编程程序,用于神经网络控制的编程-Pso algorithm matlab programming procedures for neural network control programming
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遗传算法对BP神经网络的优化。控制。通过遗传算法对BP的权值进行优化。-Genetic algorithm optimization of BP neural network. Control. Through genetic algorithm to optimize the weights of BP.
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