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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Vydané v:	International journal of robust and nonlinear control Ročník 31; číslo 6; s. 1885 - 1904
Hlavní autori:	Guo, Linyuan, Rizvi, Syed Ali Asad, Lin, Zongli
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Bognor Regis Wiley Subscription Services, Inc 01.04.2021
Predmet:	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
On-line prístup:	Získať plný text
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