Output Feedback Learning Control of Constrained Nonlinear Systems

Output Feedback Learning Control of Constrained Nonlinear Systems

This paper explores adaptive neural network output feedback control for a group of output-constrained systems using dynamic cooperative learning. The barrier Lyapunov function is employed to constrain the outputs within the required range. For all agents, we use radial basis function neural networks...

Full description

Bibliographic Details
Main Authors: Fei Gao, Weiguang Zhang
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Output constraints
dynamic cooperative learning
neural networks
output feedback control
Online Access:https://ieeexplore.ieee.org/document/10230225/

Internet

https://ieeexplore.ieee.org/document/10230225/

Similar Items