Robust Fault Detection of Uncertain Time-Delay Markovian Jump Systems with Different System Modes

2013 ◽  
Vol 33 (1) ◽  
pp. 115-139 ◽  
Author(s):  
Mengzhuo Luo ◽  
Shouming Zhong
Keyword(s):  
Time Delay ◽  
Fault Detection ◽  
Markovian Jump Systems ◽  
Markovian Jump ◽  
Robust Fault Detection ◽  
Uncertain Time ◽  
Jump Systems

Fault detection of discrete-time delay Markovian jump systems with delay term modes partially available

2019 ◽  
Vol 356 (5) ◽  
pp. 3045-3071 ◽  
Author(s):  
Guoliang Wang ◽  
Zhiqiang Li ◽  
Xin Miao ◽  
Qingling Zhang ◽  
Chunyu Yang
Keyword(s):  
Time Delay ◽  
Fault Detection ◽  
Discrete Time ◽  
Markovian Jump Systems ◽  
Markovian Jump ◽  
Delay Term ◽  
Discrete Time Delay ◽  
Jump Systems

Robust Fault Detection of Markovian Jump Systems

2004 ◽  
Vol 23 (5) ◽  
pp. 387-407 ◽  
Author(s):  
Maiying Zhong ◽  
James Lam ◽  
Steven X. Ding ◽  
Peng Shi
Keyword(s):  
Fault Detection ◽  
Markovian Jump Systems ◽  
Markovian Jump ◽  
Robust Fault Detection ◽  
Jump Systems

Adaptive event-triggered fault detection for Markovian jump systems with network time-delays

2021 ◽  
pp. 014233122110025
Author(s):  
Mengmeng Liu ◽  
Jinyong Yu ◽  
Yiming Sun ◽  
Jiahao Li
Keyword(s):  
Time Delay ◽  
Fault Detection ◽  
Time Delays ◽  
Delay System ◽  
Markovian Jump Systems ◽  
Markovian Jump ◽  
Time Delay System ◽  
Network Time ◽  
Jump Systems ◽  
Event Triggered

In this paper, the adaptive event-triggered fault detection (FD) problem is investigated for Markovian jump systems (MJSs) with network time-delays and data package dropouts. First, a novel event-triggered communication strategy with an adaptive threshold is introduced to screen the sampled signals and reduce the data releasing frequency. Consequently, the limited communication resources and network bandwidth are saved as much as possible. Second, since communication links between the plant and filter are considered to be unreliable, the effects of intermittent package dropouts phenomenon and network time-delays are taken into account simultaneously. By using time-delay system method, the network-induced phenomena, adaptive event-triggered strategy and MJSs are unified into a networked MJSs time-delay system. Then, sufficient conditions are developed such that the resulting residual system is mean-square exponentially stable with the desired [Formula: see text] performance. Finally, a numerical example of the F-404 aircraft engine system is provided to illustrate the effectiveness and potential of the proposed design method.

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