Open AccessFAULT DETECTION IN DISCRETE DYNAMIC SYSTEMS WITH UNCERTAINTY BASED ON INTERVAL OPTIMIZATION
Author(s) -
Wei Li,
Xuemin Tian
Publication year - 2011
Publication title -
mathematical modelling and analysis/mathematical modeling and analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.491
H-Index - 25
eISSN - 1648-3510
pISSN - 1392-6292
DOI - 10.3846/13926292.2011.628418
Subject(s) - interval (graph theory) , fault (geology) , mathematical optimization , fault detection and isolation , computer science , discrete optimization , mathematics , algorithm , discrete time and continuous time , optimization problem , interval arithmetic , control theory (sociology) , statistics , artificial intelligence , control (management) , mathematical analysis , combinatorics , seismology , actuator , bounded function , geology
The imprecision and the uncertainty of many systems can be expressed with interval models. This paper presents a method for fault detection in uncertain discrete dynamic systems. First, the discrete dynamic system with uncertain parameters is formulated as an interval optimization model. In this model, we also assume that there are some errors of observation values of the inputs/outputs. Then, M. Hladík's newly proposed algorithm is exploited for this model. Some numerical examples are also included to illustrate the method efficiency. © 2011 Copyright Vilnius Gediminas Technical University.