P
Paul M.J. Van den Hof
Researcher at Eindhoven University of Technology
Publications - 198
Citations - 6037
Paul M.J. Van den Hof is an academic researcher from Eindhoven University of Technology. The author has contributed to research in topics: System identification & Identifiability. The author has an hindex of 34, co-authored 190 publications receiving 5543 citations. Previous affiliations of Paul M.J. Van den Hof include Delft University of Technology.
Papers
More filters
Journal ArticleDOI
Identification and control—closed-loop issues
TL;DR: An overview is given of some current research activities on the design of high-performance controllers for plants with uncertain dynamics, based on approximate identification and model-based control design, in dealing with the interplay between system identification and robust control design.
Journal ArticleDOI
Modelling and Identification with Rational Orthogonal Basis Functions
Paul M.J. Van den Hof,Bo Wahlberg,Peter S. C. Heuberger,Brett Ninness,József Bokor,Tomás Oliveira e Silva +5 more
TL;DR: A recently developed general theory for basis construction will be presented, that is a generalization of the classical Laguerre theory, particularly exploiting the property that basis function models are linearly parametrized.
Journal ArticleDOI
System identification with generalized orthonormal basis functions
TL;DR: A least-squares identification method is studied that estimates a finite number of expansion coefficients in the series expansion of a transfer function, where the expansion is in terms of recently introduced generalized basis functions.
Journal ArticleDOI
Closed-Loop Issues in System Identification
TL;DR: The identification of dynamical systems on the basis of data, measured under closed-loop experimental conditions, is a problem which is highly relevant in many industrial applications as mentioned in this paper, and several procedures that have resulted from this research are reviewed and their characteristic properties compared.
Journal ArticleDOI
Robust Waterflooding Optimization of Multiple Geological Scenarios
TL;DR: In this paper, the authors presented an approach to reduce the impact of geological uncertainties in the field development phase known as robust optimization (RO), which uses a set of realizations that reflect the range of possible geological structures honoring the statistics of the geological uncertainties.