Fault Detection for Uncertain Nonlinear Stochastic Systems with Successive Data Packet Loss

2018 ◽  
Author(s):  
Yanqin Wang ◽  
Weijian Ren ◽  
Yang Lu
Keyword(s):  
Fault Detection ◽  
Packet Loss ◽  
Stochastic Systems ◽  
Data Packet ◽  
Nonlinear Stochastic Systems

scholarly journals Intermittent Fault Detection for Nonlinear Stochastic Systems

2020 ◽  
Vol 53 (2) ◽  
pp. 694-698
Author(s):  
Yichun Niu ◽  
Li Sheng ◽  
Ming Gao ◽  
Donghua Zhou
Keyword(s):  
Fault Detection ◽  
Stochastic Systems ◽  
Nonlinear Stochastic Systems ◽  
Intermittent Fault

scholarly journals Robust H∞ Fault Detection for Networked Control Systems with Markov Time-Delays and Data Packet Loss in Both S/C and C/A Channels

2019 ◽  
Vol 2019 ◽  
pp. 1-11
Author(s):  
Yan-feng Wang
Keyword(s):  
Time Delay ◽  
Fault Detection ◽  
Control Systems ◽  
Packet Loss ◽  
Time Delays ◽  
Networked Control Systems ◽  
Data Packet ◽  
Networked Control ◽  
Fault Detection Filter ◽  
Detection Filter

This paper investigates the robust H∞ fault detection problem for networked control systems with Markov time-delays and data packet loss in both S/C and C/A channels. First, the time-delay from sensor to controller (S/C) and the time-delay from sensor to actuator (C/A) are described by two different Markov chains. Two random variables obeying the Bernoulli distribution are used to describe the packet loss between the sensor and the controller together between the controller and the actuator. Based on this, a fault detection filter is constructed and the closed-loop system mathematical model is established. Then, the solution method of the fault detection filter and controller gain matrix is given. The relationship between the probability of successful packet transmission and the ability to suppress external disturbance is obtained. Finally, simulation verifies the effectiveness of the proposed method.

scholarly journals Distributed Fault Detection for a Class of Nonlinear Stochastic Systems

2014 ◽  
Vol 2014 ◽  
pp. 1-8
Author(s):  
Bingyong Yan ◽  
Huazhong Wang ◽  
Huifeng Wang
Keyword(s):  
Fault Detection ◽  
Stochastic Systems ◽  
Linear Matrix ◽  
False Alarms ◽  
Nonlinear Stochastic Systems ◽  
Design Procedures ◽  
Fault Detection Filter ◽  
Consensus Filter ◽  
Distributed Fault Detection ◽  
Detection Filter

A novel distributed fault detection strategy for a class of nonlinear stochastic systems is presented. Different from the existing design procedures for fault detection, a novel fault detection observer, which consists of a nonlinear fault detection filter and a consensus filter, is proposed to detect the nonlinear stochastic systems faults. Firstly, the outputs of the nonlinear stochastic systems act as inputs of a consensus filter. Secondly, a nonlinear fault detection filter is constructed to provide estimation of unmeasurable system states and residual signals using outputs of the consensus filter. Stability analysis of the consensus filter is rigorously investigated. Meanwhile, the design procedures of the nonlinear fault detection filter are given in terms of linear matrix inequalities (LMIs). Taking the influence of the system stochastic noises into consideration, an outstanding feature of the proposed scheme is that false alarms can be reduced dramatically. Finally, simulation results are provided to show the feasibility and effectiveness of the proposed fault detection approach.

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