A self learning intelligent control system based on genetic algorithm ( GA) is presented and satisfactory control is achieved based on ITAE index through optimizing control rules. 提出一种基于进化计算的自适应模糊控制策略,通过优化模糊控制中心的关键参数,得到基于ITAE指标的满意控制。
Iterative Learning Control for Nonlinear System Based on T-S Model 基于T-S模型的非线性系统的迭代学习控制
Research on the Method of Iterative Learning Control of Industrial Air-Conditioning System 工艺空调系统迭代学习控制算法的研究
Approach of iterative learning control for nonlinear continuous system based on model identification; 利用调制函数法辨识非线性连续系统的模糊模型参数。
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. 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。
A class of BP-component based learning control system and its application on inverted pendulum control 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
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. 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。
Repetitive Learning Control of Inverter System and Its DSP+ FPGA Implementation 基于DSP和FPGA实现的逆变电源重复学习控制
A PLC Based Self Learning Fuzzy Control System for the Combustion of Stoker 基于可编程控制器的模糊自学习锅炉燃烧控制系统
A self learning expert control system designed for environment test of temperature and humidity for electronic equipment is introduced. 介绍对电子产品进行温度、湿度环境试验的自学习专家智能控制系统。
It is a learning control system that can augment its abilities level by level to study and analyze the biological learning process. 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。
Unsupervising Learning Control System Based on the Neural Network 基于神经网络的无监督自学习控制系统
The Learning Control for Rate System of Test Table 转台速率系统的学习控制
Robust Iterative Learning Control for Robotic System Based on the Neural Network 基于神经网络的机器人系统的鲁棒迭代学习控制
It introduced an autonomic learning fuzzy control system of the combustion system of a boiler. 本文设计了一套锅炉燃烧系统自学习模糊控制系统。
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. 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。
Paper Machine Knowledge Based Learning Control System 基于造纸过程知识的学习控制系统
Application of Iterative Learning Control in FNS System 迭代学习控制在功能神经电刺激系统中的应用
Frequency-domain stability analysis of asynchronous learning control system 异步自学习控制的频域稳定性分析
The simulation result shows that the learning control system can improve greatly the vibration accuracy and satisfy the system specifications. 仿真结果表明,该控制系统能显著提高系统振动精度,满足设计要求。
An Improved Associative Memory Learning Control System for Industrial Processes with Unknown Dynamics 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
High-order iterative learning control for discrete-time system based on monotonic convergence 离散系统单调收敛高阶迭代学习控制
On h  ̄∞ frequency-domain method of optimal asynchronous learning control system 利用H~∞范数的最优异步自学习控制频域方法
2-D Learning Dynamics Analysis of Iterative Learning Control for Continuous-time System with Variable Initial Condition 连续系统的迭代学习控制:可变初始状态下2-D学习动态分析
In this paper, the structures of an increment expert intelligent controller and a self learning expert control system are proposed. 提出增量式专家智能控制器及自学习专家智能控制器的基本结构。
Self-Learning Intelligent Control System for Automatic 电子包装秤自学习智能控制系统
The self learning expert control system for environment test of electronic equipment 电子产品环境试验自学习专家控制系统
Taking iterative learning control into this system will greatly enhance the performance, which not only promotes the theoretical study of electro-hydraulic servo system, but also broadens the field of iterative learning applications, and has a certain value. 这促进了电液伺服系统的理论研究,同时也拓宽了迭代学习应用领域,具有一定的应用价值。
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. 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。
By iterative learning, the control system can solve the problems of feeding speed and feeding accuracy. 控制系统通过自主迭代学习,能够较好的解决加料速度与精度的协调问题。