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Cited by 260

The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.

Adaptive Robust Vibration Control of Full-Car Active Suspensions With Electrohydraulic Actuators

Sun, Weichao, Gao, Huijun, Yao, Bin·2013·IEEE Transactions on Control Systems Technology

Abstract

This paper investigates the problem of vibration suppression in vehicular active suspension systems, whose aim is to stabilize the attitude of the vehicle and improve the riding comfort. A full-car model is adopted, and electrohydraulic actuators with highly nonlinear characteristics are considered to form the basis of accurate control. In this paper, the H∞performance is introduced to realize the disturbance suppression by selecting the actuator forces as virtual inputs, and an adaptive robust control technology is further used to design controllers which help real force inputs track virtual ones. The resulting controllers are robust against both actuator parametric uncertainties and uncertain actuator nonlinearities. The stability analysis for the closed-loop system is given within the Lyapunov framework. Finally, a numerical example is given to illustrate the effectiveness of the proposed control law, where different road conditions are considered in order to reveal the closed-loop system performance in detail.

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Crossref · 10.1109/tcst.2012.2237174

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Metadata

Authors
Sun, W., Gao, H., & Yao, B.
Venue
IEEE Transactions on Control Systems Technology
Published
2013-11
Volume
21
Issue
6
Pages
2417-2422
ISSN
  • 1063-6536 (ISSN-L)
  • 1558-0865
OpenAlex
W1998650983
Cited by
260
References
13
FWCI
56.58
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Adaptive Robust Vibration Control of Full-Car Active Suspensions With Electrohydraulic Actuators. https://app.cochat.ai/papers/10.1109/tcst.2012.2237174
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Sun, W., Gao, H., & Yao, B. (2013). Adaptive Robust Vibration Control of Full-Car Active Suspensions With Electrohydraulic Actuators. IEEE Transactions on Control Systems Technology. https://doi.org/10.1109/tcst.2012.2237174

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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