@article{Chen2025, 
author = {Zhenggang Chen and Wei Wu and Shaocheng Tong},
title = {Fuzzy adaptive finite-time inverse optimal control for active suspension systems},
year = {2025},
journal = {Journal of Automation and Intelligence},
volume = {4},
number = {4},
pages = {312-320},
keywords = {Active suspension systems, Inverse optimal control, Finite-time control, Fuzzy adaptive control},
url = {https://www.sciopen.com/article/10.1016/j.jai.2025.07.002},
doi = {10.1016/j.jai.2025.07.002},
abstract = {This paper investigates the problem of fuzzy adaptive finite-time inverse optimal control for active suspension systems (ASSs). The fuzzy logic systems (FLSs) are utilized to learn the unknown non-linear dynamics and an auxiliary system is established. Based on the finite-time stability theory and inverse optimal theory, a fuzzy adaptive inverse finite-time inverse optimal control method is proposed. It is proven that the formulated control approach guarantees the stability of the controlled systems, while ensuring that errors converge to a small neighborhood of zero within finite time. Moreover, the optimized control performance can be achieved. Eventually, the simulation results demonstrate the effectiveness of the proposed fuzzy adaptive finite-time inverse optimal control scheme.}
}