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|Title:||Fuzzy sampled-data control for uncertain vehicle suspension systems|
|Citation:||IEEE Transactions on Cybernetics, 2014; 44(7):1111-1126|
|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|
T-S fuzzy model.
|Rights:||© 2013 IEEE|
|Appears in Collections:||Aurora harvest|
Electrical and Electronic Engineering publications
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