Fault detection for Markovian jump systems
By M. Zhong, H. Ye, Peng Shi, G. Wang. 2005
198 citations recorded by the source corpus.
Subfields: Control and Systems Engineering
View Paper: https://www.semanticscholar.org/paper/682ee66d4463cb933f4842717a3430c6a77a0770
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Control and Systems Engineering
- Peng Shi
- Fanbiao Li
- Guanghong Yang
- Xiaojian Li
- Ligang Wu
- D.W.C. Ho
- Heidar Ali Talebi
- Mohammadreza Davoodi
Citations in the corpus
- Fault estimation for discrete‐time switched nonlinear systems with discrete and distributed delays (2016, background): “Usually, because the switching rule for systems is considered to being arbitrary and the switching signals are governed by stochastic processes, the corresponding systems are termed as jump systems [5].”
- Fault detection for linear stochastic systems with sensor stuck faults (2012, methodology): “Over the past few decades, model-based FD has received more attention [8, 9] and two commonly used FD schemes are: H∞ filter approaches [7, 10, 11] and H−/H∞ approaches [12–15].”
- Simultaneous fault detection and control design for switched linear systems based on dynamic observer (2013, background): “In [16], the problem of robust fault detection filter design for discrete-time Markovian jump linear systems is formulated as an H1-filtering problem.”
- A Survey of Fault Detection, Isolation, and Reconfiguration Methods (2010, unknown): “[96] considered the robust fault detection”
- A survey on Markovian jump systems: Modeling and design (2015, background): “In addition of filtering design, the fault detection problem for MJSs has been investigated in [87-93].”
- Fuzzy Filter Design for ItÔ Stochastic Systems With Application to Sensor Fault Detection (2009, background): “This signal is then processed to decide whether or not a fault has occurred in the system [32].”