Title : 
Accurate frequency response function identification of LPV systems: A 2D local parametric modeling approach
         
        
            Author : 
Rick van der Maas;Annemiek van der Maas;Tom Oomen
         
        
            Author_Institution : 
Department of Mechanical Engineering, Control Systems Technology group, Eindhoven University of Technology, 5600 MB, The Netherlands
         
        
        
        
        
            Abstract : 
In the last decades, LPV control has emerged as a systematic approach to design gain-scheduled controllers. This development has led to the emergence of LPV identification techniques. The aim of this paper is to present a new approach that enables fast and accurate identification of nonparametric frequency response functions of LPV systems. Main applications of the proposed approach include pre-testing for global LPV modeling and the use of nonparametric models as a basis for local LPV modeling. The proposed method extents recent developments of local parametric modeling techniques to a 2D situation. Pre-existing LPM/LRM methods are recovered as a special case. The advantages of the proposed approach are illustrated on a simulation model.
         
        
            Keywords : 
"Linear systems","Frequency response","Biological system modeling","Transient analysis","Estimation","Semiconductor device modeling","Frequency measurement"
         
        
        
            Conference_Titel : 
Decision and Control (CDC), 2015 IEEE 54th Annual Conference on
         
        
        
            DOI : 
10.1109/CDC.2015.7402417