@inproceedings{7c5f2d27f2484a139ce60bf42e26a79a,
title = "Optimal fuzzy control design for half-car active suspension systems",
abstract = "The optimal fuzzy controller of a nonlinear active suspension system is designed based on the TakagiSugeno (T-S) fuzzy model. First, the half-car suspension system dynamics is converted to a T-S fuzzy model. Then each local controller design is derived by applying linear optimal control theory and the global effect can be achieved by fuzzily blending with local optimal controller if a sufficient condition can be met. The stability of the entire closed-loop fuzzy system can be ensured by the designed optimal fuzzy controller. The simulation results indicate the feasibility and the applicability of the designed controller, which also provides much better performance than conventional passive suspension system.",
keywords = "Active suspension system, Fuzzy control, Half-car model, T-S fuzzy model",
author = "Wu, {Shinq Jen} and Chiang, {Hsin Han} and Chen, {Jiun Hau} and Lee, {Tsu Tian}",
year = "2004",
language = "English",
isbn = "0780381939",
series = "Conference Proceeding - IEEE International Conference on Networking, Sensing and Control",
pages = "583--588",
booktitle = "Conference Proceedings - 2004 IEEE International Conference on Networking, Sensing and Control",
note = "Conference Proceeding - 2004 IEEE International Conference on Networking, Sensing and Control ; Conference date: 21-03-2004 Through 23-03-2004",
}