Gain Scheduled Fault Detection Filter for Markovian Jump Linear System with Nonhomogeneous Markov Chain

Gain Scheduled Fault Detection Filter for Markovian Jump Linear System with Nonhomogeneous Markov Chain

In a networked control system scenario, the packet dropout is usually modeled by a time-invariant (homogeneous) Markov chain (MC) process. However, from a practical point of view, the probabilities of packet loss can vary in time and/or probability parameter dependency. Therefore, to design a fault...

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Bibliographic Details
Main Authors:	Leonardo Carvalho, Jonathan M. Palma, Cecília F. Morais, Bayu Jayawardhana, Oswaldo L. V. Costa
Format:	Article
Language:	English
Published:	MDPI AG 2023-04-01
Series:	Mathematics
Subjects:	fault-detection filter Markovian jump linear system <named-content content-type="inline-formula"><inline-formula><mml:math id="mm1111"><mml:semantics><mml:msub><mml:mi mathvariant="script">H</mml:mi><mml:mo>∞</mml:mo></mml:msub></mml:semantics></mml:math></inline-formula></named-content> norm LMI relaxations nonhomogeneous Markov chains
Online Access:	https://www.mdpi.com/2227-7390/11/7/1713

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