Einladung zum Vortrag im Kolloquium Technische Kybernetik

Adaptive Extremum-seeking Control as a tool
for real-time dynamic optimization

Prof. Martin Guay

Department of Chemical Engineering
Queen's University
Kingston, Canada

    Zeit: Dienstag · 19. 4. 2005 · 16:00 Uhr
    Ort: Raum 9.31 · Pfaffenwaldring 9 · Campus Stuttgart-Vaihingen

Abstract

In this presentation, we propose an extremum-seeking control framework to solve dynamic-optimization problems in finite dimensional nonlinear systems. The extremum-seeking controller design technique leads to closed-loop systems that can stabilize nonlinear control systems to orbits that maximize a functional of interest. The problem is posed as a real-time optimal trajectory generation problem in which the optimal orbit is computed using an extremum-seeking approach. The control algorithm provides simultaneous tracking of the optimal orbit. A drug delivery system is considered to demonstrate the application of the technique. The issue of real-time dynamic optimization has also been of concern in the application of model predictive control. In this talk, we will also present an application of the extremum-seeking technique to solve general nonlinear model predictive control problems.

Biographical Information

Martin Guay received his Ph.D. in Chemical Engineering at Queen’s University in 1996. From 1995 to 1997, he was a research scientist in Research and Development Center at Dupont Canada Inc. In 1997, he joined the Department of Chemical and Materials Engineering at the University of Alberta where he was Assistant Professor until 1999. He then joined the Department of Chemical Engineering at Queen’s University where he is Associate Professor. He is currently on leave at CESAME at l’ Université Catholique de Louvain in Louvain-la-Neuve, Belgium. In 2004, he received the Premier Research Excellence Award from the Government of Ontario. His research interests are in the area nonlinear control theory, process control, bioprocess control and manufacturing systems control.