Please use this identifier to cite or link to this item:
|Scopus||Web of Science®||Altmetric|
|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; H∞ control; sampled-data control; T-S fuzzy model.|
|Rights:||© 2013 IEEE|
|Appears in Collections:||Electrical and Electronic Engineering publications|
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.