Optimal control of a two‐wheeled self‐balancing robot by reinforcement learning

Summary This article concerns optimal control of the linear motion, tilt motion, and yaw motion of a two‐wheeled self‐balancing robot (TWSBR). Traditional optimal control methods for the TWSBR usually require a precise model of the system, and other control methods exist that achieve stabilization i...

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Bibliographic Details
Published in:	International journal of robust and nonlinear control Vol. 31; no. 6; pp. 1885 - 1904
Main Authors:	Guo, Linyuan, Rizvi, Syed Ali Asad, Lin, Zongli
Format:	Journal Article
Language:	English
Published:	Bognor Regis Wiley Subscription Services, Inc 01.04.2021
Subjects:	Algorithms Balancing Control methods Control systems Decoupling Machine learning Mathematical models Optimal control Output feedback Parameter uncertainty Q‐learning reinforcement learning Riccati equation Robot control robustness State feedback two‐wheeled self‐balancing robot Yaw
ISSN:	1049-8923, 1099-1239
Online Access:	Get full text
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