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
Abstract: A common approach for dealing with non-linear systems is to describe the system by a model...
Frequency response function (FRF) identification is a key step in experimental modeling of many appl...
© 2015 This paper tackles the problem of identifying linear parameter-varying (LPV) systems by combi...
In the last decades, LPV control has emerged as a systematic approach to design gain-scheduled contr...
LPV control has emerged as a systematic approach in the design of gain-scheduled controllers. This r...
LPV control has emerged as a systematic approach in the design of gain-scheduled controllers. This r...
Linear parameter varying (LPV) controller synthesis is a systematic approach for designing gain-sche...
\u3cp\u3eLinear parameter varying (LPV) controller synthesis is a systematic approach for designing ...
Frequency Response Function (FRF) modeling of Linear Parameter Varying (LPV) systems facilitates ana...
Frequency Response Function (FRF) modeling of Linear Parameter Varying (LPV) systems facilitates ana...
© 2016 IEEE. This paper explores a combined global and local identification approach for linear para...
Synthesizing Linear Time-Invariant (LTI) controllers directly from Frequency Response Function (FRF)...
A common approach for dealing with non-linear systems is to describe the system by a model with para...
Abstract: A common approach for dealing with non-linear systems is to describe the system by a model...
Frequency response function (FRF) identification is a key step in experimental modeling of many appl...
© 2015 This paper tackles the problem of identifying linear parameter-varying (LPV) systems by combi...
In the last decades, LPV control has emerged as a systematic approach to design gain-scheduled contr...
LPV control has emerged as a systematic approach in the design of gain-scheduled controllers. This r...
LPV control has emerged as a systematic approach in the design of gain-scheduled controllers. This r...
Linear parameter varying (LPV) controller synthesis is a systematic approach for designing gain-sche...
\u3cp\u3eLinear parameter varying (LPV) controller synthesis is a systematic approach for designing ...
Frequency Response Function (FRF) modeling of Linear Parameter Varying (LPV) systems facilitates ana...
Frequency Response Function (FRF) modeling of Linear Parameter Varying (LPV) systems facilitates ana...
© 2016 IEEE. This paper explores a combined global and local identification approach for linear para...
Synthesizing Linear Time-Invariant (LTI) controllers directly from Frequency Response Function (FRF)...
A common approach for dealing with non-linear systems is to describe the system by a model with para...
Abstract: A common approach for dealing with non-linear systems is to describe the system by a model...
Frequency response function (FRF) identification is a key step in experimental modeling of many appl...
© 2015 This paper tackles the problem of identifying linear parameter-varying (LPV) systems by combi...