Fault Detection for Networked Systems with Randomly Occurring Nonlinearities Via Switched System Approach
This paper addresses the fault detection (FD) problem for networked systems with with randomly occurring nonlinearities and incomplete measurements,including transmission time delays,packet dropouts,and signal quantizations which are described by a new switched system model.We aim to design a mode-dependent fault detection filter (FDF) such that,for all external disturbances,incomplete measurements,and the randomly occurring nonlinearities,the error between the residual and weighted fault is made as small as possible.The addressed FD problem is then converted into an auxiliary H∞ filtering problem of switched systems with time-varying delays.By applying Lyapunov-Krasovskii approach,a sufficient condition for the existence of the FDF is derived in terms of certain linear matrix inequalities (LMIs).When these LMIs are feasible,the explicit expression of the desired FDF can also be characterized.A numerical example is exploited to show the effectiveness of the results obtained.
Fault detection networked systems time-varying delays packet dropouts randomly occurring nonlinearities
Xiongbo Wan Huajing Fang Fang Yang
College of Engineering, Huazhong Agricultural University, Wuhan 430070, China;Department of Control Department of Control Science and Engineering, Huazhong University of Science and Technology, Wuhan College of Engineering, Huazhong Agricultural University, Wuhan 430070, China
国际会议
the 25th Chinese Control and Decision Conference(第25届中国控制与决策会议)
贵阳
英文
3125-3130
2013-05-01（万方平台首次上网日期，不代表论文的发表时间）