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Type: Journal article
Title: Fuzzy sampled-data control for uncertain vehicle suspension systems
Author: Li, H.
Jing, X.
Lam, H.
Shi, P.
Citation: IEEE Transactions on Cybernetics, 2014; 44(7):1111-1126
Publisher: IEEE
Issue Date: 2014
ISSN: 2168-2267
Statement of
Hongyi Li, Xingjian Jing, Hak-Keung Lam, and Peng Shi
Abstract: This paper investigates the problem of sampled-data H∞ control of uncertain active suspension systems via fuzzy control approach. Our work focuses on designing state-feedback and output-feedback sampled-data controllers to guarantee the resulting closed-loop dynamical systems to be asymptotically stable and satisfy H∞ disturbance attenuation level and suspension performance constraints. Using Takagi-Sugeno (T-S) fuzzy model control method, T-S fuzzy models are established for uncertain vehicle active suspension systems considering the desired suspension performances. Based on Lyapunov stability theory, the existence conditions of state-feedback and output-feedback sampled-data controllers are obtained by solving an optimization problem. Simulation results for active vehicle suspension systems with uncertainty are provided to demonstrate the effectiveness of the proposed method
Keywords: Active suspension system
H∞ control
sampled-data control
T-S fuzzy model.
Rights: © 2013 IEEE
DOI: 10.1109/TCYB.2013.2279534
Appears in Collections:Aurora harvest
Electrical and Electronic Engineering publications

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