Adaptive optimal output tracking of continuous-time systems via output-feedback-based reinforcement learning

• Main Authors: Chen, Ci, Xie, Lihua, Xie, Kan, Lewis, Frank L., Xie. Shengli
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2022
• Subjects: Engineering::Electrical and electronic engineering; Reinforcement Learning; Output Tracking
• Online Access: https://hdl.handle.net/10356/163293
• Institution: Nanyang Technological University

Reinforcement learning provides a powerful tool for designing a satisfactory controller through interactions with the environment. Although off-policy learning algorithms were recently designed for tracking problems, most of these results either are full-state feedback or have bounded control errors...