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