International audienceA strategy is proposed to model the complex industrial systems using linear time-varying system (LTV S). The proposed methodology is independent of model structure and the model may take any classic linear structure such as finite impulse response, input-output relation structures etc. To take into account the error between system and model due to model order reduction, variation of system behavior in time and perturbations, model's parameters are considered varying but bounded variables characterized by intervals. The output of this model is characterized by a function of the piecewise linear parameters which contains all possible system's responses taking into account modeling error as well as the perturbations
Many engineering structures, such as cranes, traffic-excited bridges, flexible mechanisms and roboti...
An on-line least squares algorithm has previously been successfully applied to linear vibration syst...
This article presents a parameter estimation of continuous-time polytopic models for a linear parame...
International audienceA strategy is proposed to model the complex industrial systems using linear ti...
This book aims to bridge the gap between Linear Parameter-Varying (LPV) modeling and control by inve...
A novel class of linear time-varying models is proposed for nonlinear system identification purposes...
The standard machinery for system identification of linear time invariant (LTI) models delivers a no...
The Linear Parameter-Varying (LPV) paradigm represents a natural extension of the classical Linear ...
L’identification de systèmes est un sujet très utilisé à la fois dans le monde académique et industr...
International audienceThis paper deals with the parameter identification of continuous time polytopi...
Linear time invariant system models are insufficient for physical systems which have deterministic o...
Linear time-invariant models are widely used in the control community. They often serve as approxima...
Control of Linear Parameter Varying Systems with Applications compiles state-of-the-art contribution...
Many engineering structures, such as cranes, traffic–excited bridges, flexible mechanisms and roboti...
Advancement in technology goes hand in hand with advancement in science and engineering. The science...
Many engineering structures, such as cranes, traffic-excited bridges, flexible mechanisms and roboti...
An on-line least squares algorithm has previously been successfully applied to linear vibration syst...
This article presents a parameter estimation of continuous-time polytopic models for a linear parame...
International audienceA strategy is proposed to model the complex industrial systems using linear ti...
This book aims to bridge the gap between Linear Parameter-Varying (LPV) modeling and control by inve...
A novel class of linear time-varying models is proposed for nonlinear system identification purposes...
The standard machinery for system identification of linear time invariant (LTI) models delivers a no...
The Linear Parameter-Varying (LPV) paradigm represents a natural extension of the classical Linear ...
L’identification de systèmes est un sujet très utilisé à la fois dans le monde académique et industr...
International audienceThis paper deals with the parameter identification of continuous time polytopi...
Linear time invariant system models are insufficient for physical systems which have deterministic o...
Linear time-invariant models are widely used in the control community. They often serve as approxima...
Control of Linear Parameter Varying Systems with Applications compiles state-of-the-art contribution...
Many engineering structures, such as cranes, traffic–excited bridges, flexible mechanisms and roboti...
Advancement in technology goes hand in hand with advancement in science and engineering. The science...
Many engineering structures, such as cranes, traffic-excited bridges, flexible mechanisms and roboti...
An on-line least squares algorithm has previously been successfully applied to linear vibration syst...
This article presents a parameter estimation of continuous-time polytopic models for a linear parame...