Fault Detection for Complex Systems with Channel Fadings, Randomly Occurring Multiple Delays and Infinitely Distributed Delays  被引量:1

Fault Detection for Complex Systems with Channel Fadings, Randomly Occurring Multiple Delays and Infinitely Distributed Delays

在线阅读下载全文

作  者:WANG Yanqin REN Weijian LU Yang 

机构地区:[1]School of Mechanical and Electrical Engineering, Daqing Normal University, Daqing 163712, China [2]College of Electrical and Information Engineering, Northeast Petroleum University, Daqing 163318, China

出  处:《Journal of Systems Science & Complexity》2018年第2期419-435,共17页系统科学与复杂性学报(英文版)

基  金:supported in part by the National Natural Science Foundation of China under Grant Nos.61422301 and 61374127;the Alexander von Humboldt Foundation of Germany and Youth Science Foundation of Daqing Normal University under Grant No.11ZR10

摘  要:This paper is concerned with the fault detection(FD) problem for a class of discretetime stochastic systems with channel fadings, randomly occurring multiple communication delays,and infinitely distributed delays. All of the three phenomena have the characteristics of randomly occurring and three sequences of stochastic variables which are mutually independent but obey the Bernoulli distribution are employed to describe them. The aim of this paper is to design an FD filter such that the FD dynamics is exponentially stable in the mean square and, at the same time, the error between the residual signal and the fault signal is made as small as possible. Intensive analysis is utilized to derive the sufficient conditions for the designed FD filter, which guarantees the exponential stability and the prescribed H∞ performance. FD filter parameters are obtained by solving a convex optimization problem. An illustrative example is provided to demonstrate the effectiveness of the FD design scheme.

关 键 词:Channel fadings fault detection infinitely distributed delays networked control systems(NCSs) randomly occurring multiple delays. 

分 类 号:TP277[自动化与计算机技术—检测技术与自动化装置]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象