| 神经网络容错控制结构研究 |
| |
| 引用本文： | 李军,王执铨.神经网络容错控制结构研究[J].南京理工大学学报(自然科学版),1996,20(5):433-436. |
| |
| 作者姓名： | 李军 王执铨 |
| |
| 作者单位： | 南京理工大学信息学院 |
| |
| 基金项目： | 高校博士点学科专项科研基金 |
| |
| 摘 要： | 可靠性是衡量控制系统性能和品质的重要指标。容错控制是提高控制系统可靠性的一种有效手段，神经网络具有非线性特性，容错能力，学习机制，在容错控制中具有得天独厚的优势。该文分析了容错控制理论的发展状况及神经网络的特性，提出一种基于神经网络的分层递阶容错控制结构，并从可靠镇定，控制重构和完整性设计等效有度进行探讨。
|
| 关 键 词： | 神经网络 容错技术 稳定性 容错控制 控制系统 |
The Structure of Fault tolerant Control System Based on Neural Networks |
| |
| LiJun,WangZhiquan,SunJinsheng.The Structure of Fault tolerant Control System Based on Neural Networks[J].Journal of Nanjing University of Science and Technology(Nature Science),1996,20(5):433-436. |
| |
| Authors: | LiJun WangZhiquan SunJinsheng |
| |
| Abstract: | Reliability is an important index to weight the performance of a control system.Fault tolerant control is an effective means of raising the reliability of a system.Neural networks are good candidates for performing a variety of reflexive functions in fault tolerant cortrol system because they are nonlinear,can be fault tolerant themselves,and can learn from experience.This paper analyses the developing situation and the main properties of neural networks,and proposes a type of structure for fault tolerant control system based on neural networks.The feasibility is studied from reliable stability,system reconfiguration and integrity design.Neural networks are an effective means of performing intelligent fault tolerant control. |
| |
| Keywords: | neural networks fault tolerant technique stability reconstitution |
| 本文献已被 CNKI 维普 等数据库收录！ |
