He is a postdoctoral researcher at the Risk Analytics and Optimization Chair at ETH Lausanne (EPFL) and the Automatic Control Laboratory at ETH Zurich.

Abstract:

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, shifting attention from the system dynamics to the disturbance inputs, we propose a relaxed design perspective to train a linear residual generator given some statistical information about the disturbance patterns. That is, we propose an optimization-based approach to robustify the filter with respect to finitely many signatures of the nonlinearity. We then invoke existing results in randomized optimization to provide theoretical guarantees for the performance of the proposed filer. 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 detect such an intrusion before the functionality of the power system is disrupted.

Short Biography:

Peyman Mohajerin Esfahani currently holds a dual-appointment as a postdoctoral researcher at the Risk Analytics and Optimization Chair at ETH Lausanne (EPFL) and the Automatic Control Laboratory at ETH Zurich.

He received the B.Sc. and M.Sc degrees in Electrical Engineering both from Sharif University of Technology, Tehran, Iran, in September 2005 and December 2007, respectively. In June 2008 he joined the Automatic Control Laboratory at the Swiss Federal Institute of Technology (ETH) Zurich, Switzerland, where he obtained the Ph.D. degree in January 2014.His research interests include control synthesis, analysis, and decision making problems in uncertain, adversarial, and dynamic environments subject to information constraints, with applications to large scale systems such as power networks and industrial cyber-physical systems.