4.7 Article

Vehicle sideslip estimation via kernel-based LPV identification: Theory and experiments

Related references

Note: Only part of the references are listed.
Article Engineering, Electrical & Electronic

An Adaptive Approach to Real-Time Estimation of Vehicle Sideslip, Road Bank Angles, and Sensor Bias

Yi-Wen Liao et al.

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2019)

Review Engineering, Mechanical

Literature review and fundamental approaches for vehicle and tire state estimation*

Kanwar Bharat Singh et al.

VEHICLE SYSTEM DYNAMICS (2019)

Proceedings Paper Automation & Control Systems

An Adaptive Vehicle Sideslip Estimator for Reliable Estimation in Low and High Excitation Driving

S. van Aalst et al.

IFAC PAPERSONLINE (2018)

Proceedings Paper Automation & Control Systems

Automotive vehicle sideslip angles estimation in a bounded-error context

S. Fergani et al.

IFAC PAPERSONLINE (2017)

Article Automation & Control Systems

Vehicle sideslip estimation: A kinematic based approach

Donald Selmanaj et al.

CONTROL ENGINEERING PRACTICE (2017)

Article Automation & Control Systems

An instrumental least squares support vector machine for nonlinear system identification

Vincent Laurain et al.

AUTOMATICA (2015)

Article Automation & Control Systems

Set-membership LPV model identification of vehicle lateral dynamics

Vito Cerone et al.

AUTOMATICA (2011)

Article Engineering, Mechanical

On the vehicle sideslip angle estimation through neural networks: Numerical and experimental results

S. Melzi et al.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2011)

Article Automation & Control Systems

Development and Experimental Evaluation of a Slip Angle Estimator for Vehicle Stability Control

Damrongrit (Neng) Piyabongkarn et al.

IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY (2009)

Article Engineering, Mechanical

Sideslip angle estimation using extended Kalman filter

B. -C. Chen et al.

VEHICLE SYSTEM DYNAMICS (2008)

Article Automation & Control Systems

Vehicle velocity estimation using nonlinear observers

Lars Imsland et al.

AUTOMATICA (2006)