Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/35896
Title: Fuzzy sampled-data control for uncertain vehicle suspension systems
Authors: Li, HY
Jing, XJ 
Lam, HK
Shi, P
Keywords: Active suspension system
H-infinity control
Sampled-data control
T-S fuzzy model
Issue Date: 2014
Publisher: Institute of Electrical and Electronics Engineers
Source: IEEE transactions on cybernetics, 2014, v. 44, no. 7, p. 1111-1126 How to cite?
Journal: IEEE transactions on cybernetics 
Abstract: This paper investigates the problem of sampled-data H-infinity 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-infinity 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.
URI: http://hdl.handle.net/10397/35896
ISSN: 2168-2267
EISSN: 2168-2275
DOI: 10.1109/TCYB.2013.2279534
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