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1
Integrated control of ground vehicles dynamics via advanced terminal sliding mode control
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Integrated control of ground vehicles dynamics via advanced terminal sliding mode control

Mousavinejad, Eman ; Han, Qing-Long ; Yang, Fuwen ; Zhu, Yong ; Vlacic, Ljubo

Vehicle system dynamics, 2017-02, Vol.55 (2), p.268-294 [Peer Reviewed Journal]

Abingdon: Taylor & Francis

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2
A review of ground vehicle dynamic state estimations utilising GPS/INS
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A review of ground vehicle dynamic state estimations utilising GPS/INS

Tin Leung, King ; Whidborne, James F. ; Purdy, David ; Dunoyer, Alain

Vehicle system dynamics, 2011-02, Vol.49 (1-2), p.29-58 [Peer Reviewed Journal]

Taylor & Francis

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3
On the interest of integrating vehicle dynamics for the ground propagation of vibrations: the case of urban railway traffic
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Article
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On the interest of integrating vehicle dynamics for the ground propagation of vibrations: the case of urban railway traffic

Kouroussis, G. ; Verlinden, O. ; Conti, C.

Vehicle system dynamics, 2010-12, Vol.48 (12), p.1553-1571 [Peer Reviewed Journal]

Colchester: Taylor & Francis

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4
A review of ground vehicle dynamic state estimations utilising GPS/INS : Advanced Suspension Systems and Dynamics for Future Road Vehicles
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A review of ground vehicle dynamic state estimations utilising GPS/INS : Advanced Suspension Systems and Dynamics for Future Road Vehicles

KING TIN LEUNG ; WHIDBORNE, James F ; PURDY, David ; DUNOYER, Alain

Vehicle system dynamics, 2011, Vol.49 (1-3), p.29-58 [Peer Reviewed Journal]

Colchester: Taylor & Francis

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5
Stochastic vibration of the vehicle-bridge system subject to non-uniform ground motions
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Article
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Stochastic vibration of the vehicle-bridge system subject to non-uniform ground motions

Zhu, D.Y. ; Zhang, Y.H. ; Kennedy, D. ; Williams, F.W.

Vehicle system dynamics, 2014-03, Vol.52 (3), p.410-428 [Peer Reviewed Journal]

Taylor & Francis

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6
Probabilistic assessment of vehicle derailment based on optimal ground motion intensity measure
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Probabilistic assessment of vehicle derailment based on optimal ground motion intensity measure

Jin, Zhibin ; Liu, Weizhan ; Pei, Shiling ; He, Jinzhe

Vehicle system dynamics, 2021-11, Vol.59 (11), p.1781-1802 [Peer Reviewed Journal]

Abingdon: Taylor & Francis

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7
A tube-based robust nonlinear predictive control approach to semiautonomous ground vehicles
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A tube-based robust nonlinear predictive control approach to semiautonomous ground vehicles

Gao, Yiqi ; Gray, Andrew ; Tseng, H. Eric ; Borrelli, Francesco

Vehicle system dynamics, 2014-06, Vol.52 (6), p.802-823 [Peer Reviewed Journal]

Taylor & Francis

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8
Magneto-rheological suspensions for improving ground vehicle's ride comfort, stability, and handling
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Magneto-rheological suspensions for improving ground vehicle's ride comfort, stability, and handling

Ahmadian, Mehdi

Vehicle system dynamics, 2017-10, Vol.55 (10), p.1618-1642 [Peer Reviewed Journal]

Abingdon: Taylor & Francis

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9
Models for ground vehicle control on nonplanar surfaces
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Models for ground vehicle control on nonplanar surfaces

Fork, Thomas ; Tseng, H. Eric ; Borrelli, Francesco

Vehicle system dynamics, 2024-04, Vol.62 (4), p.976-1000 [Peer Reviewed Journal]

Abingdon: Taylor & Francis

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10
A new tyre-soil interaction model for vehicle simulation on deformable ground
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A new tyre-soil interaction model for vehicle simulation on deformable ground

Harnisch, Carsten ; Lach, Bjoern ; Jakobs, Roland ; Troulis, Markos ; Nehls, Oliver

Vehicle System Dynamics, 2005-01, Vol.43 (sup1), p.384-394 [Peer Reviewed Journal]

Colchester: Taylor & Francis

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