Add to ORKGIn this research, real-time Moving Horizon Estimation (MHE) algorithms are developed for on-line state and parameter estimation of advanced friction models, in order to compensate the effect of friction in model-based motion control systems.status: publishe
Abstract — In the last decade, moving horizon estimation (MHE) has emerged as a powerful technique f...
We propose a state smoothing algorithm for hybrid systems based on Moving Horizon Estimation (MHE) b...
We propose a state smoothing algorithm for hybrid systems based on Moving Horizon Estimation (MHE) b...
Friction is a nonlinear phenomenon that is present in almost all motion systems. Friction often limi...
Efficient on-line state and parameter estimation is essential for model-based friction compensation ...
This paper presents a smoothed friction model that closely approximates the GeneralizedMaxwell-Slip ...
Real-time autonomous driving requires a precise knowledge of the state and the ground parameters, es...
Friction model identification is in most cases carried out in an off-line manner, where separate mea...
A moving horizon state estimation algorithm (MHE) is applied to the nonlinear and unstable Tennessee...
This paper presents a model that closely approximates the Generalized Maxwell-Slip (GMS) model, a mu...
The multi-state Generalized Maxwell-Slip (GMS) friction model is known to describe all essential fri...
We analyze the stability properties of an approximate algorithm for moving horizon estimation (MHE)....
Varying terrain conditions influencing the ground friction challenge model-based control methods for...
Abstract: Moving Horizon Estimation (MHE) is an efficient optimization-based strategy for state esti...
The article presents issues related to the application of a moving horizon estimator for state varia...
Abstract — In the last decade, moving horizon estimation (MHE) has emerged as a powerful technique f...
We propose a state smoothing algorithm for hybrid systems based on Moving Horizon Estimation (MHE) b...
We propose a state smoothing algorithm for hybrid systems based on Moving Horizon Estimation (MHE) b...
Friction is a nonlinear phenomenon that is present in almost all motion systems. Friction often limi...
Efficient on-line state and parameter estimation is essential for model-based friction compensation ...
This paper presents a smoothed friction model that closely approximates the GeneralizedMaxwell-Slip ...
Real-time autonomous driving requires a precise knowledge of the state and the ground parameters, es...
Friction model identification is in most cases carried out in an off-line manner, where separate mea...
A moving horizon state estimation algorithm (MHE) is applied to the nonlinear and unstable Tennessee...
This paper presents a model that closely approximates the Generalized Maxwell-Slip (GMS) model, a mu...
The multi-state Generalized Maxwell-Slip (GMS) friction model is known to describe all essential fri...
We analyze the stability properties of an approximate algorithm for moving horizon estimation (MHE)....
Varying terrain conditions influencing the ground friction challenge model-based control methods for...
Abstract: Moving Horizon Estimation (MHE) is an efficient optimization-based strategy for state esti...
The article presents issues related to the application of a moving horizon estimator for state varia...
Abstract — In the last decade, moving horizon estimation (MHE) has emerged as a powerful technique f...
We propose a state smoothing algorithm for hybrid systems based on Moving Horizon Estimation (MHE) b...
We propose a state smoothing algorithm for hybrid systems based on Moving Horizon Estimation (MHE) b...