Fault detection and estimation for non-Gaussian stochastic systems with time varying delay
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- 作者：Kai Hu (1) (2)
AiGuo Song (2)
WeiLiang Wang (1)
Yingchao Zhang (1)
Zhiyong Fan (1) - 关键词：fault detection ; fault estimation ; observer ; PDF
- 刊名：Advances in Difference Equations
- 出版年：2013
- 出版时间：December 2013
- 年：2013
- 卷：2013
- 期：1
- 全文大小：460KB
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AiGuo Song (2)
WeiLiang Wang (1)
Yingchao Zhang (1)
Zhiyong Fan (1)
1. School of Information and Control, Nanjing University of Information Science and Technology, Nanjing, 210044, China
2. School of Instrument Science and Engineering, Southeast University, Nanjing, 210096, China - ISSN：1687-1847
文摘
In this paper, fault detection and estimation problem is studied for non-Gaussian stochastic systems with time varying delay. A new approach based on the output probability density function (PDF) and observers technique to detect and estimate time varying faults is presented. Some slack variables and scalars are introduced to design observers-parameters, which can provide more degrees of freedom. A particle distribution example is given to illustrate the design procedures, and the simulation results show the performance of the proposed approaches.