The Adaptive Optimal Output Feedback Tracking Control of Unknown Discrete-Time Linear Systems Using a Multistep Q-Learning Approach

The Adaptive Optimal Output Feedback Tracking Control of Unknown Discrete-Time Linear Systems Using a Multistep Q-Learning Approach

This paper investigates the output feedback (OPFB) tracking control problem for discrete-time linear (DTL) systems with unknown dynamics. To solve this problem, we use an augmented system approach, which first transforms the tracking control problem into a regulation problem with a discounted perfor...

Full description

Bibliographic Details
Main Authors: Xunde Dong, Yuxin Lin, Xudong Suo, Xihao Wang, Weijie Sun
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Mathematics
Subjects:
tracking
Q-learning
optimal control
output feedback
UPS
Online Access:https://www.mdpi.com/2227-7390/12/4/509

Internet

https://www.mdpi.com/2227-7390/12/4/509

Similar Items