搜索资源列表
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基于RBF神经网络的PID控制的仿真研究
-The Study and Simulation of PID Control Based on RBF Neural Network
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自适应PID解耦控制方法及其应用
,基于RBF神经网络-ADAPTIVE PID DECOUPLING CONTROL BASED ON RBF NEURAL NETWORK AND ITS APPLICATION
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自适应PID解耦控制方法基于RBF神经网络及其应用
-ADAPTIVE PID DECOUPLING CONTROL BASED ON RBF NEURAL NETWORK AND ITS APPLICATION
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基于神经网络解耦控制的多电机同步系统
-Multi-motor Synchronous System Based on Neural Network Decoupling Control
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同步控制方法结合RBF神经网络和遗传算法
- networked Synchronization Control Method by the Combination of RBF Neural
Network and Genetic Algorithm
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基于补偿算子的模糊神经网络系统及其在系统 建模和控制中的应用研究，包括论文和程序，程序附在论文后，为PDF文档-After the operator based compensation fuzzy neural network system and its application in modeling and control systems, including papers and procedures, procedures attached to the papers, the PDF
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基于神经网络算法的预测控制，对预测控制的学习有很大的用处。-Predictive control based on neural network algorithm, is very useful for the predictive control of learning.
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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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A Neural Network Based Speed Control for DC
Motor
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Tracking control for nonholonomic mobile robots: Integrating the analog neural network into the backstepping technique
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基于神经网络滑模的采摘机械臂控制设计_贾鹤鸣，很不错的滑模算法，相关同学可以参考使用。-Based on the neural network sliding mode of picking manipulator control design Heming Jia, very good sliding mode algorithm, the students can refer to the use of.
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Neural Network Modelling and Predictive Control of a Milk Pasteurisation plant
by M.T. Kha and J.V. Ringwood
-Neural Network Modelling and Predictive Control of a Milk Pasteurisation plant
by M.T. Kha and J.V. Ringwood
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介绍了基于RBF神经网络的机械臂控制，通俗易懂，适合新手入门。-RBF neural network based on the mechanical arm control, easy to understand, suitable for novice entry.
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Application of BP neural network in the bending roll control system of straightening machine
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Neural Network Vector Control of a Permanent
Magnet Synchronous Motor Drive
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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
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Introducing the rank-weight method into the
basic ant colony optimization (ACO), we use the modified
ACO to optimize the weights and thresholds value of neural
networks (NN). And when the BPNN is being trained, this
method can solve the disad
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毕业设计有用，是一种双隐层反向传播神经网络，包含飞行器飞行中的姿态控制，如侧滑角，倾斜角，滚转角，俯仰角。- Graduation useful Is a two hidden layer back propagation neural network, It comprises aircraft flight attitude control, such as slip angle, tilt angle, roll angle, pitch angle.
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粒子群优化（PSO）是一种进化计算技术（进化计算）。
捕食鸟行为的研究。粒子群算法（PSO）的基本思想是通过群体中个体之间的协作和信息共享找到最优解。
粒子群优化算法的优点是它简单且易于实现，没有多个参数。目前，它已广泛应用于函数优化、神经网络训练、模糊系统控制等遗传算法中。(The particle swarm optimization (PSO:Particle swarm optimization) is an evolutionary computing technology (Ev
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本书的主要内容包括：对MATLAB语言的数值计算、Simulink工具箱、神经网络工具箱和模糊工具箱的介绍，以及利用这些工具箱对建筑结构抗震工程中的一些实际问题进行研究分析和编程计算。本书侧重于介绍MATLAB语言在建筑结构抗震工程中的实际应用，涉及了科学计算、动态仿真、图形处理、神经网络和模糊控制。(The main contents of this book include the introduction of numerical calculation of MATLAB languag
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