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#reinforcement learning Dataset Open access Aug 2026

A Twin Delayed Deep Deterministic-based control method for a full vehicle semi-active suspension system

Through this system, users can input parameters for a vehicle semi-active suspension using a magneto-rheological damper (sprung mass, sprung mass centroid position parameters, unsprung mass, magneto-rheological damper model parameters, suspension spring stiffness, wheel equivalent spring stiffness, balance bar torsion...

Yongjun Wang, Xiaoming Wang, Gang Zhi et al. · 0 citations
#reinforcement learning Dataset Open access Aug 2026

A Twin Delayed Deep Deterministic-based control method for a full vehicle semi-active suspension system

Through this system, users can input parameters for a vehicle semi-active suspension using a magneto-rheological damper (sprung mass, sprung mass centroid position parameters, unsprung mass, magneto-rheological damper model parameters, suspension spring stiffness, wheel equivalent spring stiffness, balance bar torsion...

Yongjun Wang, Xiaoming Wang, Gang Zhi et al. · 0 citations

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