title: Fuzzy sampled-data control for uncertain vehicle suspension systems.
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.
authors.forename: Hongyi
authors.initials: H
authors.lastname: Li
authors.forename: Xingjian
authors.initials: X
authors.lastname: Jing
authors.forename: Hak-Keung
authors.initials: HK
authors.lastname: Lam
authors.forename: Peng
authors.initials: P
authors.lastname: Shi