P
Paul M. Frank
Researcher at University of Duisburg
Publications - 228
Citations - 16152
Paul M. Frank is an academic researcher from University of Duisburg. The author has contributed to research in topics: Fault detection and isolation & Robustness (computer science). The author has an hindex of 48, co-authored 228 publications receiving 15777 citations. Previous affiliations of Paul M. Frank include University of Duisburg-Essen & Centre national de la recherche scientifique.
Papers
More filters
Journal ArticleDOI
Parameterization of linear observers and its application to observer design
X. Ding,L. Guo,Paul M. Frank +2 more
TL;DR: This result provides a dual representation of the well-known linear controller parameterization and gives a new insight into the observer design which may be used for the observer construction and robust observer design.
Proceedings ArticleDOI
A frequency domain approach to fault detection of uncertain dynamic systems
X. Ding,L. Guo,Paul M. Frank +2 more
TL;DR: In this paper, the authors formulated the residual generation and evaluation problems as optimization problems that are solvable using frequency domain optimization techniques and derived an expression for achievable minimum size of detectable faults by using linear residual generators.
Journal ArticleDOI
H ∞ control via output feedback for state delayed systems
TL;DR: In this paper, a sufficient condition is derived such that the closed-loop state delayed system is stable and guarantees a prescribed H ∞ norm bound of the transfer matrix from the disturbance to the controlled output.
Journal ArticleDOI
Advanced Fault Detection and Isolation Schemes Using Nonlinear and Robust Observers
TL;DR: In this article, the authors deal with the problem of robust fault detection and isolation in dynamic systems using analytical redundancy in order to reduce the effect of process parameter variations, two observer schemes for FDI are described.
Proceedings ArticleDOI
Threshold calculation using LMI-technique and its integration in the design of fault detection systems
TL;DR: In this article, problems related to the threshold calculation and its integration in the design of observer-based fault detection systems are studied, where the main idea consists in the formulation of threshold calculation as some standard optimization problems which are then solved using the well-established LMI-optimization technique.