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Fault Diagnosis in Nonlinear Hybrid Systems
Author(s) -
Alexey Zhirabok,
Alexey Shumsky
Publication year - 2018
Publication title -
international journal of applied mathematics and computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.416
H-Index - 47
eISSN - 2083-8492
pISSN - 1641-876X
DOI - 10.2478/amcs-2018-0049
Subject(s) - nonlinear system , automaton , residual , fault (geology) , hybrid system , computer science , control theory (sociology) , mathematics , algorithm , theoretical computer science , control (management) , artificial intelligence , physics , quantum mechanics , machine learning , seismology , geology
The problem of fault diagnosis in hybrid systems is investigated. It is assumed that the hybrid systems under consideration consist of a finite automaton, a set of nonlinear difference equations and the so-called mode activator that coordinates the action of the other two parts. To solve the fault diagnosis problem, hybrid residual generators based on both diagnostic observers and parity relations are used. It is shown that the hybrid nature of the system imposes some restrictions on the possibility of creating such generators. Sufficient solvability conditions of the fault diagnosis problem are found. Examples illustrate details of the solution.

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