Civil Engineering, Controls and Control Theory, Signal Processing, Bioinformatics, Biotechnology, Systems Biology, Control Theory, Dynamic Systems, Non-linear Dynamics, Ordinary Differential Equations and Applied Dynamics, Applied Statistics, Design of Experiments and Sample Surveys, and Multivariate Analysis
Optimal Experimental Design, Parameter Identification, Systems Biology, Prognostics and Health Management, Uncertainty Analysis, and Kalman Filter
- Signals and Systems
Parameter Identification (2)
Optimal Experimental Design (4)
Influence of non-linearity to the Optimal Experimental Design demonstrated by ...
Mathematical and Computer Modelling of Dynamical Systems (2012)
A precise estimation of parameters is essential to generate mathematical models with a highly predictive power. A framework that attempts ...
process design (1)
Prognostics and Health Management (5)
Supporting the Shift towards Continuous Pharmaceutical Manufacturing by Condition Monitoring
Proceedings of the 2016 3rd Conference on Control and Fault-Tolerant Systems (2016)
Over the last decade there has been an increasedinterest in the pharmaceutical industry to shift the manufacturingprocess of drugs from ...
Improved Railway Track Irregularities Classification by a Model Inversion Approach
Proceedings of the Third European Conference of the Prognostics and Health Management Society 2016 (2016)
Over time railway networks have become complex systemscharacterized by manifold types of technical componentswith a broad range of age distribution. ...
Global Sensitivity Analysis applied to Model Inversion Problems: A Contribution ...
International Journal of Prognostics and Health Management (2015)
Rising demands on railroad infrastructure operator by means of profitability and punctuality call for advanced concepts of Prognostics and Health ...