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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&#x221E; and H2 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 H2/H&#x221E; 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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<inline-formula> <tex-math notation="LaTeX">$H_2$ </tex-math></inline-formula>/<inline-formula> <tex-math notation="LaTeX">$H_\infty$ </tex-math></inline-formula> Simultaneous Fault Detection and Control for Markov Jump Linear Systems With Partial Observation

$H_2$ / $H_\infty$ Simultaneous Fault Detection and Control for Markov Jump Linear Systems With Partial Observation