• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>International Conference on Environmental and Computer Science >Intelligent control using online stability-based knowledge representation
【24h】

Intelligent control using online stability-based knowledge representation

机译：智能控制使用基于在线稳定的知识表示

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

In this paper, a new concept for intelligent control of stability in technical systems is proposed based upon the Situation-Operator-Model-based cognitive architecture of autonomous system. The novelty of the proposed method is that the controller can accomplish the task of control without knowing the detailed structure of the system plant, nor its physical behavior, because all the information needed in the control are gained by studying the phase portrait during the interaction process between the system and the environment, with the help of the static knowledge about the stability and the goal of control. Furthermore, the performance of the control is improved according to the experiences of the controller which are gained by the cognitive functions and stored in the learned knowledge base. These two features are realized within the framework built up by Situation-Operator-Model approach to represent the reality. An example of stabilizing a pendulum with unknown impulse disturbances is utilized to illustrate he approach.
机译：本文提出了一种基于自主系统的情况模型的认知结构的技术系统稳定性智能控制的新概念。所提出的方法的新颖性是，控制器可以在不知道系统工厂的详细结构的情况下实现控制的任务，而不是控制的所有物理行为，因为通过在交互过程中研究相位纵向来获得控制中所需的所有信息在系统与环境之间，借助静态知识了关于稳定性和控制目标。此外，根据由认知函数获得的控制器的经验并存储在学习知识库中的控制器的经验，改善了控制的性能。这两个特征在通过情况 - 运营商模型方法构建的框架内实现，以代表现实。利用具有未知脉冲扰动的摆锤的一个例子来说明他的方法。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号