H2 / H\infty Simultaneous Fault Detection and Control for Markov Jump Linear Systems With Partial Observation

We focus on the Simultaneous Fault Detection and Control (SFDC) in the context of Markov Jump Linear Systems (MJLS). The main novelty of the paper is the design of H ∞ and H 2 SFDC under the MJLS framework considering partial observation of the Markov chain. Both designs are obtained via Bilinear Ma...

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Veröffentlicht in:	IEEE access 2020, Vol.8, p.11979-11990
Hauptverfasser:	Carvalho, Leonardo De Paula, Oliveira, Andre Marcorin De, Costa, Oswaldo Luiz Do Valle
Format:	Artikel
Sprache:	eng
Schlagworte:	<italic xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">H ₂ norm <italic xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">H ∞ norm Detectors Fault detection hidden markov mode Linear matrix inequalities Linear systems Markov processes Markovian jump linear systems Reliability simultaneous fault detection and control Symmetric matrices
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