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


P. Mohajerin Esfahani

Invited Talk, Delft Center for Systems and Control, Technical University of Delft

In this talk we present 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.


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