| Time: | October 18, 2016 |
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Prof. Valeri Ougrinovski
School of Information Technology and Electrical Engineering
University of New South Wales,
Canberra, Australia
Tuesday 2016-05-18 16:00
IST-Seminar-Room V9.22 - Pfaffenwaldring 9 - Campus Stuttgart-Vaihingen
Abstract
The talk introduces a class of zero-sum games between the adversary and controller as a scenario for a `denial of service' in a networked control system. The communication link is modeled as a set of binary automata controlled by a strategic jammer whose intention is to wage an attack on the plant by choosing a most damaging automaton-switching strategy. We demonstrate that even in the one-step case, the introduced games admit a saddle-point equilibrium, at which the jammer's optimal policy is to randomize in a region of the plant's state space, thus requiring the controller to undertake a nontrivial response which is different from what one would expect in a standard stochastic control problem over a packet dropping channel. We derive conditions for the introduced games to have such a saddle-point equilibrium.
Biographical Information
Valery Ugrinovski received the undergraduate degree in Applied Mathematics and the PhD degree in Physics and Mathematics from the State University of Nizhny Novgorod, Russia, in 1982 and 1990, respectively. From 1982 to 1995, he held research positions with the Radiophysical Research Institute, Nizhny Novgorod. From 1995 to 1996, he was a Research Fellow at the University of Haifa, Israel. In 1996 he joined the School of Engineering and Information Technology, at the University of New South Wales Canberra where he is currently full Professor. He held visiting appointments at the Australian National University in Canberra (where he is currently an Adjunct Professor), Stuttgart University and University of Illinois at Urbana-Champaign. He is an Associate Editor for Automatica and IET Control Theory and Applications. His research interests include decentralized and distributed control, quantum control, stochastic control and filtering theory, robust control.