Data-Driven Adaptive Optimal Control for Linear Systems With Structured Time-Varying Uncertainty

In this paper, a data-driven adaptive optimal control strategy is proposed for a class of linear systems with structured time-varying uncertainty, minimizing the upper bound of a pre-defined cost function while maintaining the closed-loop stability. An off-policy data-driven reinforcement learning a...

Full description

Bibliographic Details
Main Authors: Meng Zhang, Ming-Gang Gan
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8606187/