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Fault recovery in discrete event systems

Authors: A. Saboori; S. Hashtrudi Zad;

Fault recovery in discrete event systems

Abstract

In this paper, we study the synthesis of fault recovery procedures using discrete-event models. It is assumed that a diagnosis system is available that detects and isolates the faults with a bounded delay. Thus, the combination of the plant and the diagnosis system, as the system to be controlled, will have three modes: normal, transient and recovery. Initially, the plant and thus the system to be controlled, are in the normal mode. Once a fault occurs in the plant, the system enters the transient mode. After the fault is diagnosed by the diagnosis system, the system enters the recovery mode. We study the design of a nonblocking supervisor to enforce the design specifications of the system in all three modes. The solution is obtained by first transforming the problem into an equivalent robust nonblocking supervisory control problem under partial observation, and then (using our previous results on robust control) solving the resulting robust control problem and thus the fault recovery problem. As a result, we obtain a set of necessary and sufficient conditions for the existence of a solution for the fault recovery problem

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Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
11
Average
Top 10%
Average
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