*** Welcome to piglix ***

Jan van Schuppen

Jan H. van Schuppen
Born (1947-10-06) 6 October 1947 (age 70)
Veenendaal
Citizenship Dutch
Alma mater University of California, Berkeley
Website ta.twi.tudelft.nl/mf/users/schuppen/
Scientific career
Fields Systems Theory, Control Theory
Institutions CWI, TU Delft, Vrije Universiteit
Thesis Estimation Theory for Continuous Time Processes, a Martingale Approach (1973)
Doctoral advisor Eugene Wong

Jan Hendrik van Schuppen (born 6 October 1947) is a Dutch mathematician and Professor at the Department of Mathematics of the Vrije Universiteit, known for his contributions in the field of systems theory, particularly on control theory and system identification, on probability, and on a number of related practical applications.

Van Schuppen obtained a PhD at the University of California, Berkeley, in 1973, where his PhD supervisor was Pravin Varaiya.

Van Schuppen works as a full professor at the Department of Mathematics of the Free University of Amsterdam and as a research leader at the CWI research institute in Amsterdam. He has been coordinating several European Union funded research networks such as the European Research Network System Identification, for which he has been the Netherlands leader. The lists among the PhD students who worked under van Schuppen's supervision Hendrik (Henk) Nijmeijer, Jan Willem Polderman, Peter Spreij and Damiano Brigo.

Van Schuppen is Editor in Chief of Mathematics of Control, Signals, and Systems, has been Departmental Editor of the Journal of Discrete Event Dynamic Systems in 1990–2000, and has been Associate Editor-at-Large of the prestigious and leading journal IEEE Transactions on Automatic Control in 1999–2001.

Van Schuppen's research interest are in the areas of systems theory and probability. These include system identification, and realization theory, and the area of control theory, with control of discrete-event systems, control of hybrid systems, control and system theory of positive systems, control of stochastic systems, and adaptive control.


...
Wikipedia

...