Adaptive Neural Globally Asymptotic Tracking Control for a Class of Uncertain Nonlinear Systems

Adaptive Neural Globally Asymptotic Tracking Control for a Class of Uncertain Nonlinear Systems

This paper investigates the adaptive neural tracking control problem for strict-feedback nonlinear systems. Superior to the existing results that only semi-globally uniformly ultimately bounded stability can be achieved, each virtual and actual controller of the proposed design switches between an a...

Full description

Bibliographic Details
Main Authors: Jun Wan, Tasawar Hayat, Fuad E. Alsaadi
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Neural network (NN)
strick-feedback systems
global stability
PI compensator
backstepping
Online Access:https://ieeexplore.ieee.org/document/8620979/

Internet

https://ieeexplore.ieee.org/document/8620979/

Similar Items