A Tractable Fault Detection and Isolation Approach for Nonlinear Systems with Probabilistic Performance
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Date
2013Type
- Report
ETH Bibliography
yes
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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. Show more
Publication status
publishedJournal / series
Report Institute of Automatic Control, ETH ZürichVolume
Publisher
ETH Zürich, Institut für AutomatikOrganisational unit
03751 - Lygeros, John / Lygeros, John
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ETH Bibliography
yes
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