Adaptive NN Backstepping With Considering Integral of Tracking Error
In order to simplify the design procedure of traditional neural network backstepping and improve the robustness and precision of control, an improved scheme is studied for a class of nonlinear systems. To avoid reconstructing virtual control inputs in each recursive step, RBF neural networks are uti...
Main Authors: | Jiangtao Xu, Yu Fu, Ganghui Cao, Dewei Zhang, Ya Yang |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2020-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9123368/ |
Similar Items
-
Adaptive Backstepping Control for a Class of Nonlinear Systems With Unknown Time Delay
by: Feng Qian, et al.
Published: (2020-01-01) -
A Neural Network-Based Adaptive Backstepping Control Law With Covariance Resetting for Asymptotic Output Tracking of a CSTR Plant
by: Obaid Alshammari, et al.
Published: (2020-01-01) -
Tutorial on nonlinear backstepping: Applications to ship control
by: Thor I. Fossen, et al.
Published: (1999-04-01) -
Adaptive Backstepping Control for a Class of Non-Triangular Structure Nonlinear Systems
by: Jianping Cai, et al.
Published: (2020-01-01) -
Adaptive Backstepping Control of Nonlinear Hydraulic-Mechanical System Including Valve Dynamics
by: M. Choux, et al.
Published: (2010-01-01)