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A sliding mode observer for monitoring and fault estimation in a network of dynamical systems
Author(s) -
Me Prathyush P.,
Edwards Christopher
Publication year - 2013
Publication title -
international journal of robust and nonlinear control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.361
H-Index - 106
eISSN - 1099-1239
pISSN - 1049-8923
DOI - 10.1002/rnc.3017
Subject(s) - control theory (sociology) , observer (physics) , nonlinear system , lipschitz continuity , computer science , fault (geology) , sliding mode control , mode (computer interface) , state observer , control engineering , control (management) , mathematics , engineering , artificial intelligence , physics , quantum mechanics , seismology , geology , operating system , mathematical analysis
SUMMARY In this paper, a novel fault estimation strategy is proposed for a network of dynamical systems at a supervisory monitoring level. The network nodes include linear and Lipschitz nonlinear dynamics and time‐varying coupling strength. The aim is to enhance the autonomy level of this class of systems by means of this inherently robust, nonlinear strategy based on sliding mode ideas. The faults are reconstructed from the equivalent output error injection signal which is used to maintain sliding. A key facet of the strategy is that the synthesis of the sliding mode observer for the network depends solely on the dynamics of an individual node of the network. The theoretical results developed in the paper are demonstrated with an example consisting of a network of pendulums. Copyright © 2013 John Wiley & Sons, Ltd.