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A Tractable Fault Detection and Isolation Approach for Nonlinear Systems with Probabilistic Performance

Author(s):

P. Mohajerin Esfahani, J. Lygeros
Conference/Journal:

IEEE Transactions on Automatic Control, to appear as a full paper, (arXiv:1408.1767)
Abstract:

The paper presents a novel perspective along with a scalable methodology to design a fault detection and isolation (FDI) filter for high dimensional nonlinear systems. Previous approaches on FDI problems are either confined to linear systems or they are only applicable to low dimensional dynamics with specific structures. In contrast, we propose an optimization-based approach to robustify a linear residual generator given some statistical information of the disturbance patterns, shifting attention from the system dynamics to the disturbance inputs. We then invoke the existing randomized techniques to provide theoretical guarantees for the performance of the proposed filter. Finally, motivated by a cyber-physical attack emanating from the vulnerabilities introduced by the interaction between IT infrastructure and power system, we deploy the developed theoretical results to diagnose and mitigate such an intrusion before the functionality of the power system is disrupted.

Year:

2015
Type of Publication:

(01)Article
Supervisor:



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% Autogenerated BibTeX entry
@Article { EsfLyg:2015:IFA_4344,
    author={P. Mohajerin Esfahani and J. Lygeros},
    title={{A Tractable Fault Detection and Isolation Approach for
	  Nonlinear Systems with Probabilistic Performance}},
    journal={IEEE Transactions on Automatic Control},
    year={2015},
    volume={},
    number={},
    pages={},
    url={http://control.ee.ethz.ch/index.cgi?page=publications;action=details;id=4344}
}
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