Transformer-enhanced reinforcement learning for magnetorheological semi-active suspension control under false data injection attacks
This paper investigates the control of a semi-active suspension equipped with a magnetorheological (MR) damper under nonlinear hysteresis, hard physical constraints, and unknown false data injection (FDI) attacks. A nonlinear-hysteretic dynamic model that accounts for FDI attacks is established for a semi-active suspen...