Online Optimal Control of Robotic Systems with Single Critic NN-Based Reinforcement Learning

This paper suggests an online solution for the optimal tracking control of robotic systems based on a single critic neural network (NN)-based reinforcement learning (RL) method. To this end, we rewrite the robotic system model as a state-space form, which will facilitate the realization of optimal t...

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Bibliographic Details

Published in:	Complexity (New York, N.Y.) Vol. 2021; no. 1
Main Authors:	Long, Xiaoyi, He, Zheng, Wang, Zhongyuan
Format:	Journal Article
Language:	English
Published:	Hoboken Hindawi 2021 John Wiley & Sons, Inc Wiley
Subjects:	Adaptive control Algorithms Design Distance learning Dynamic programming Machine learning Neural networks Optimal control Robot control Robotics Tracking control Tracking errors
ISSN:	1076-2787, 1099-0526
Online Access:	Get full text
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