Thursday September 1 – 8.30-9.30 hrs – Aula Magna

Alexander Kurzhanski

Distinguished Professor
Lomonosov Moscow State University
Faculty of Computational Mathematics & Cybernetics
Russia


Closed-loop control under realistic information

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Abstract:
The problems of closed-loop control are at the heart of modern control theory and were investigated throughout the history of control under well-known “classical” information conditions. However rapid progress in technology generates demand in problem solutions under realistic information.
Indeed the description of system models, the disturbances, the measurement outputs and other items may be incompletely or imperfectly known and the problem settings may be different from conventional. In particular, the observers may be generated through new types of communication schemes and require new models, while the controls could belong to newer type of inputs, such for example, like impulsive, hybrid or coordinated feedback.
The overall control system may also be treated as being immersed, using recent terms, into a “cyber- physical field”. Many of such problems may be quite known, but are not yet theoretically approached due to mathematical difficulties and also perhaps the necessity of coordinating different mathematical and software tools within one framework. This presentation describes an array of such problems and the related possible solution tools.

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Alexander Kurzhanski biosketch:
Born in 1939. Fulfilled his undergraduate studies in Electrical Engineering at the Technical University of Ural and in Mathematics (including graduate studies) at the University of Ural, (both at Yekaterinburg, former Sverdlovsk). Received the “candidat” (PhD equivalent) and his habilitation “doctorate” from the University of Ural, where he became full professor. In 1967-1984 he worked at the Institute of Mathematics and Mechanics of the Ural Branch of the Academy of Sciences of USSR — as Senior Researcher, Head of Department and Director. Within 1984-1992 Professor Kurzhanski was the Chairman of the Systems and Decision Sciences Program and since 1987 also Deputy Director of IIASA (the International Institute of Applied Systems Analysis) , located in Laxenburg, Austria. From 1992 till present — organizer and head of Department of Systems Analysis at the Moscow State (Lomonosov) University (MSU), Faculty of Computational Mathematics and Cybernetics, Distinguished Professor of MSU(1999). Since 1998 also Visiting Research Scholar at the University of California at Berkeley. Kurzhanski was elected Associate Member of the Russian (former Soviet) Academy of Sciences in 1981 and Full Member in 1990. He is the Chairman of the Russian National Committee on Automatic Control ( the IFAC NMO). Council Member of IFAC since 2005, Fellow of IFAC (2008). His research interests and achievements are in the field of estimation and control under incomplete (realistic) information, closed-loop control of complex systems, new dynamic programming techniques, inverse problems of mathematical physics, computational methods and set-valued models in dynamics and control, feedback strategies for impulse control and fast controls, team (group) control under external constraints and mathematical modeling for applied systems analysis.