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
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description 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 Matrix Inequalities optimization problem. As secondary results we provide a Mixed H 2 /H ∞ SFDC under the same set up, as well as the implementation of a coordinated descent algorithm to solve the optimization problem formulated as Bilinear Matrix Inequalities (BMI). To illustrate the viability of the proposed solution a numerical example is provided.
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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
title H2 / H\infty Simultaneous Fault Detection and Control for Markov Jump Linear Systems With Partial Observation
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