@inproceedings{d3b0de16d1c74c45bbd5eb0dd0fe72f0,
title = "Adaptive fuzzy logic controller for vehicle active suspensions with interval type-2 fuzzy membership functions",
abstract = "Elicited from the Least Means Squares optimal algorithm (LMS), an adaptive fuzzy logic controller (AFC) based on interval type-2 fuzzy sets is proposed for vehicle non-linear active suspension systems. The interval membership functions (IMF2S) are utilized in the AFC design to deal with not only non-linearity and uncertainty caused from irregular road inputs and immeasurable disturbance, but also the potential uncertainty of expert's knowledge and experience. The adaptive strategy is designed to self-tune the active force between the lower bounds and upper bounds of interval fuzzy outputs. A case study based on a quarter active suspension model has demonstrated that the proposed type-2 fuzzy controller significantly outperforms conventional fuzzy controllers of an active suspension and a passive suspension.",
author = "Jiangtao Cao and Honghai Liu and Ping Li and David Brown",
year = "2008",
doi = "10.1109/FUZZY.2008.4630348",
language = "英语",
isbn = "9781424418190",
series = "IEEE International Conference on Fuzzy Systems",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "83--89",
booktitle = "2008 IEEE International Conference on Fuzzy Systems, FUZZ 2008",
address = "美国",
note = "17th IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2008 ; Conference date: 01-06-2008 Through 06-06-2008",
}