$e$-MTF) sets of robust model predictive control (MPC) for passive fault tolerance. The maximal tolerable fault set serves as an index to evaluate the passive fault-tolerance capabilities of robust MPC frameworks. In particular, a regulation problem for a discrete-time linear time-invariant system with an additive fault model is considered. We construct convex optimization problems to compute the

$e$

-MTF sets for the general robust MPC scheme under the predefined feasible region and ultimate bound requirements, respectively. Then, we analyze the set-based fault-tolerance limits for multiplicative faults and sensor faults via the computed

$e$

-MTF set. At the end of this article, a numerical example illustrates the effectiveness of the proposed method.">

Maximal Tolerable Fault Set of Robust MPC for Passive Fault Tolerance With Predefined Performance (original) (raw)

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