A decentralized fault detection and prediction scheme for nonlinear interconnected continuous-time systems

Abstract

Complex nonlinear systems such as an aircraft, trains, automobiles, power plants and chemical plants are represented as nonlinear interconnected subsystems. Therefore, in this paper a novel decentralized fault diagnosis and prognosis (FDP) methodology is proposed for such large-scale systems. Current FDP approaches require the knowledge of the entire state… (More)
DOI: 10.1109/IJCNN.2012.6252472

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Cite this paper

@article{Ferdowsi2012ADF, title={A decentralized fault detection and prediction scheme for nonlinear interconnected continuous-time systems}, author={Hasan Ferdowsi and Deepthi L. Raja and Sarangapani Jagannathan}, journal={The 2012 International Joint Conference on Neural Networks (IJCNN)}, year={2012}, pages={1-7} }