Set-based conclusive parameter estimation, model validation and fault detection
Professor Rolf Findeisen
Otto-von-Guericke University Magdeburg
Monday, December 19, 2011
We present a set-based approach for state and parameter estimation, model validation, and fault detection of nonlinear discrete time systems. The approach allows to take bounded disturbances as well as parameter uncertainties and discrete variables into account. The approach is based on feasibility formulations of the original problem. The resulting feasibility problem is relaxed to allow for efficient numerical solution. The applicability of the approach is shown, considering several example problems, spanning from systems biology to process control. We furthermore show that the proposed framework can be expanded towards the direct use of qualitative information that can be casted in form temporal logic. This allows, for example, to invalidate models based on qualitative behavior.
Rolf Findeisen graduated with an M.S. degree from the University of Wisconsin, Madison and a Diploma and Doctorate from the University of Stuttgart, Germany. He was a research assistant in the Automatic Control Laboratory at ETH Zürich and a researcher at the Institute for Systems Theory and Automatic Control at the University of Stuttgart before starting his current position as Full Professor and head of the Systems Theory and Automatic Control Laboratory at the Otto-von-Guericke University, Magdeburg, Germany. His main research interests are in the areas of optimization-based control and state estimation, nonlinear model predictive control, and parameter identification and model validation with various fields of applications spanning from robotics to systems biology.