Adaptive fuzzy control for non‐strict‐feedback stochastic uncertain non‐linear systems based on event‐triggered strategy
Abstract This paper investigates the issue of adaptive fuzzy control for a category of non‐strict‐feedback stochastic uncertain non‐linear systems. Based on event‐triggered mechanism, an adaptive fuzzy controller with a simple form is designed by combining backstepping technique with fuzzy logic sys...
Main Authors: | Yuxiao Lian, Jianwei Xia, Wei Sun, Zhen Wang, Huasheng Zhang |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2021-04-01
|
Series: | IET Control Theory & Applications |
Subjects: | |
Online Access: | https://doi.org/10.1049/cth2.12099 |
Similar Items
-
Adaptive stochastic model predictive control of linear systems using Gaussian process regression
by: Fei Li, et al.
Published: (2021-03-01) -
An improved control technique for designing of composite non‐linear feedback control in constrained time‐delay systems
by: Valiollah Ghaffari
Published: (2021-01-01) -
A DSC approach to adaptive dynamic region‐based tracking control for strict‐feedback non‐linear systems
by: Xiaoming Sun, et al.
Published: (2022-01-01) -
Adaptive event‐triggered control of multi‐agent systems with state constraints and unknown disturbances
by: Xi‐Zi Zhang, et al.
Published: (2021-11-01) -
A Quasi open‐loop robust three‐phase grid‐synchronization technique for non‐ideal grid
by: Hafiz Ahmed, et al.
Published: (2021-12-01)