Research on Deep Reinforcement Learning Control Algorithm for Active Suspension Considering Uncertain Time Delay

The uncertain delay characteristic of actuators is a critical factor that affects the control effectiveness of the active suspension system. Therefore, it is crucial to develop a control algorithm that takes into account this uncertain delay in order to ensure stable control performance. This study...

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Vydané v:	Sensors (Basel, Switzerland) Ročník 23; číslo 18; s. 7827
Hlavní autori:	Wang, Yang, Wang, Cheng, Zhao, Shijie, Guo, Konghui
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Basel MDPI AG 01.09.2023 MDPI
Predmet:	active suspension Actuators Algorithms Control algorithms Controllers Decision making Deep learning deep reinforcement learning Design Machine learning Roads & highways Robust control Simulation suspension control uncertain time delay Vehicles Working conditions
ISSN:	1424-8220, 1424-8220
On-line prístup:	Získať plný text
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