@article{Kang2023, 
author = {Zigui Kang and Tao Li and Xiaofei Fan},
title = {Delay-dependent anti-disturbance control of electric vehicle based on collective observers},
year = {2023},
journal = {AIMS Mathematics},
volume = {8},
number = {6},
pages = {14684-14703},
keywords = {vehicle lateral stability, collective observers, anti-disturbance control, input time-delay, path-independent FLKF},
url = {https://www.sciopen.com/article/10.3934/math.2023751},
doi = {10.3934/math.2023751},
abstract = {An improved anti-disturbance strategy is proposed to guarantee lateral stability for electric vehicles with external disturbance and input time delay. Firstly, the T-S fuzzy model is applied to describe active front wheel steering system (AFS). Based on the obtained model, a new collective observers including disturbance observer and state observer are structured to estimate disturbance and state simultaneously. Then, a compound control is designed by using the estimation values of collective observers. During the design process, a novel path-independent fuzzy Lyapunov-Krasovskii function (FLKF) and slack variable matrices are introduced to reduce conservatism. Finally, two simulation cases are implemented on Matlab/Simulink-Carsim to show the effectiveness of the proposed method.}
}