学习控制系统

一种基于BP组件的学习控制系统及其在倒立摆控制上的应用

A class of BP - component based learning control system and its application on inverted pendulum control

对相联存储自学习控制系统（AMLCS）提出了一种改进方案，可用于动态特性几乎完全未知且慢时变的工业过程。

This paper proposes an improved version of the associative memory learning control system ( AMLCS ) for industrial processes with almost completely unknown but slowly time-varying dynamics .

本文基于Lyapunov方法，对含饱和执行器的迭代学习控制系统进行了研究。

This thesis presents ILC controller designs for systems with saturating actuator by lyapunov approach .

首先介绍了BP组件的接口和功能规范.然后建立基于BP组件的学习控制系统的组件化框架。

The paper first introduces the interface and function regulation of BP components and then proposes the structure based on BP components .

一类非线性迭代学习控制系统的鲁棒收敛性

Robust convergence of a class of nonlinear iterative learning control systems

粉磨设备磨机负荷模糊自学习控制系统设计

Design of fuzzy self-learning control system of load of the grinding mill

模糊神经网络核子秤配料自学习控制系统

A fuzzy neural network-based self-learning control system for burden

300MN模锻水压机自学习控制系统研究

Self-learning control system for a 300 MN Die Forging Hydrostatic Press Control System

适用于动态特性未知工业过程的改进型相联存储自学习控制系统

An Improved Associative Memory Learning Control System for Industrial Processes with Unknown Dynamics

基于神经网络的无监督自学习控制系统

Unsupervising Learning Control System Based on the Neural Network

污水泵站模糊自学习控制系统

Fuzzy Self-learning Control System of Sewage Pumping Stations

迭代学习控制系统设计及应用

Iterative Learning Control Systems Design and Its Applications

神经网络异步自学习控制系统

Neural network based asynchronous learning control systems

基于造纸过程知识的学习控制系统

Paper Machine Knowledge Based Learning Control System

联想存储自学习控制系统

Self-learning control system with associative memories

基于以上的模型及对精加工过程中主轴负载信息的分析设计自学习控制系统。

Based on these models and the analysis of the spindle load in CNC process , self-learning control system is designed .

它是一个逐级发展的学习控制系统，可用于分析和研究生物的学习过程。

It is a learning control system that can augment its abilities level by level to study and analyze the biological learning process .

因此，针对不确定非线性对象进行网络学习控制系统的研究具有重要的价值，且网络学习控制系统的稳定性及学习收敛性研究是首要问题。

Therefore for the uncertain nonlinear plant , the research on networked learning control system is valuable . And the stability and learning algorithm convergence should be main focus .

讨论了学习控制系统的设计方法及稳定性问题，介绍了学习控制系统的实现技术，给出了实验结果与结论。

The design method and stability issue of the learning control system are discussed . The implementing technology of the learning control system is introduced and the experimental results and conclusion are given .

本文针对异形螺杆加工特点，建立了异形螺杆铣削过程迭代学习控制系统。

In this paper , according to the characteristics of the special spiral rods ' processing , the feasibility of adjustment of the feed velocity has been justified and iterative learning control system has been established .

特别是迭代学习控制系统中，由于信号沿迭代轴的积分特性以及一些不可重复性因素，使得执行器饱和特性对控制系统性能的影响尤为突出。

Especially , in the practiced implementation of iterative learning control ( ILC ), input saturation is of particular importance , due to its integral nature along the iterative axis and the existence of non-repeatable components in the learning process .

电子产品环境试验自学习专家控制系统

The self learning expert control system for environment test of electronic equipment

电子包装秤自学习智能控制系统

Self - Learning Intelligent Control System for Automatic

鸣禽发声学习的控制系统主要由一条直接神经通路和一条辅助神经通路组成。

The song control system of songbird is mainly composed of direct pathway and acces-sory pathway .

本文设计了一套锅炉燃烧系统自学习模糊控制系统。

It introduced an autonomic learning fuzzy control system of the combustion system of a boiler .

基于网络学习的控制系统

Networked Learning Based Control Systems

现在，我们将继续学习发动机控制系统中最重要的执行器。

Now , we 'll move on to a selection of the most important actuators in engine control .

在阐明学习路径控制系统的构造和功能后，提出了在实现过程中学习路径设计、保存、转换和运行的方法。最后，本文基于已分析的理论和设计方法，实现了学习路径控制原型系统。

After introducing the organization and functionality of the process control system , we implemented this system to achieve learning path design , storage , transition and execution .

在此基础上研究了串级控制系统和基于神经网络的自学习模糊控制系统，并进行了控制系统仿真研究，结果显示两种控制系统都具有较好的控制能力。

A cascade control system and a self-Learning fuzzy control system based on neural network are studied . The simulation results show that the two systems have good control quality .

本文对船舶操纵运动控制中的模糊控制、神经网络控制和遗传算法进行了系统地研究，致力于研究采用模糊逻辑、神经网络和遗传算法的无模型自学习自适应控制系统。

Fuzzy control , neural networks control and genetic algorithm in ship steering motion control system are systemically investigated in this thesis . This thesis concentrates on studying no-model self-study and adaptive ship course control system by using fuzzy logic , neural network and genetic algorithm .