Using reinforcement learning techniques to solve continuous‐time non‐linear optimal tracking problem without system dynamics-Reference-Cited by-同舟云学术

Using reinforcement learning techniques to solve continuous‐time non‐linear optimal tracking problem without system dynamics

Published:2016-08 Issue:12 Volume:10 Page:1339-1347
ISSN:1751-8652
Container-title:IET Control Theory & Applications
language:en
Short-container-title:IET Control Theory & Applications

Author:

Zhu Yuanheng¹,Zhao Dongbin¹,Li Xiangjun²

Affiliation:

1. State Key Laboratory of Management and Control for Complex Systems, Institution of Automation, Chinese Academy of SciencesBeijing100190People's Republic of China

2. Electrical Engineering and New Material DepartmentChina Electric Power Research InstituteBeijing100192People's Republic of China

Funder

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Control and Optimization,Computer Science Applications,Human-Computer Interaction,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-cta.2015.0769

Reference35 articles.

1. Reinforcement Learning and Approximate Dynamic Programming for Feedback Control

2. Approximate Dynamic Programming

3. Adaptive dynamic programming

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