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Cited by 368

The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.

Vehicle Lateral Dynamics Control Through AFS/DYC and Robust Gain-Scheduling Approach

Zhang, Hui, Wang, Junmin·2016·IEEE Transactions on Vehicular Technology

Abstract

In this paper, we investigate the combined active front-wheel steering/direct yaw-moment control for the improvement of vehicle lateral stability and vehicle handling performance. A more practical assumption in this work is that the longitudinal velocity is not constant but varying within a range. Both the nonlinear tire model and the variation of longitudinal velocity are considered in vehicle system modeling. A linear-parameter-varying model with norm-bounded uncertainties is obtained. To track the system reference, a generalized proportional-integral (PI) control law is proposed. Since it is difficult to get the analytic solution for the PI gains, an augmented system is developed, and the PI control is then converted into the state-feedback control for the augmented system. Both the stability and the energy-to-peak performance of the augmented system are explored. Based on the analysis results, the controller-gain tuning method is proposed. The proposed control law and controller design method are illustrated via an electric vehicle model.

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Metadata

Authors
Zhang, H., & Wang, J.
Venue
IEEE Transactions on Vehicular Technology
Published
2016-01
Volume
65
Issue
1
Pages
489-494
ISSN
  • 0018-9545 (ISSN-L)
  • 1939-9359
OpenAlex
W1987640506
Cited by
368
References
18
FWCI
42.34
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Vehicle Lateral Dynamics Control Through AFS/DYC and Robust Gain-Scheduling Approach. https://app.cochat.ai/papers/10.1109/tvt.2015.2391184
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Zhang, H., & Wang, J. (2016). Vehicle Lateral Dynamics Control Through AFS/DYC and Robust Gain-Scheduling Approach. IEEE Transactions on Vehicular Technology. https://doi.org/10.1109/tvt.2015.2391184

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