TY - JOUR
T1 - Fuzzy adaptive SOSM based control of a type of nonlinear systems
AU - Mei, Keqi
AU - Ding, Shihong
AU - Zheng, Wei Xing
PY - 2022
Y1 - 2022
N2 - This brief addresses the issue of devising a fuzzy adaptive second-order sliding mode (SOSM) controller for a type of nonlinear systems. First of all, the fuzzy logic systems are adopted to dynamically approximate the unknown functional bounds of uncertainties. Subsequently, a control strategy of fuzzy adaptive SOSM on the basis of the backstepping-like technique and the fuzzy adaptive control is developed. It is strictly proved via the Lyapunov theory that the resultant whole system is finite-time stable. Comparative simulation results confirm that under the proposed method, the states can be rapidly regulated to zero and meantime the chattering problem can be alleviated.
AB - This brief addresses the issue of devising a fuzzy adaptive second-order sliding mode (SOSM) controller for a type of nonlinear systems. First of all, the fuzzy logic systems are adopted to dynamically approximate the unknown functional bounds of uncertainties. Subsequently, a control strategy of fuzzy adaptive SOSM on the basis of the backstepping-like technique and the fuzzy adaptive control is developed. It is strictly proved via the Lyapunov theory that the resultant whole system is finite-time stable. Comparative simulation results confirm that under the proposed method, the states can be rapidly regulated to zero and meantime the chattering problem can be alleviated.
UR - https://hdl.handle.net/1959.7/uws:75454
U2 - 10.1109/TCSII.2021.3116812
DO - 10.1109/TCSII.2021.3116812
M3 - Article
SN - 1549-7747
VL - 69
SP - 1342
EP - 1346
JO - IEEE Transactions on Circuits and Systems. Part 2: Express Briefs
JF - IEEE Transactions on Circuits and Systems. Part 2: Express Briefs
IS - 3
ER -