• A T-S fuzzy-based vehicle dynamics model effectively captures time-varying tire cornering stiffness and vehicle speeds, representing uncertain parameters via norm-bounded uncertainties.
• A robust model predictive control (MPC) strategy, solved via linear matrix inequalities (LMIs), guarantees vehicle handling stability under nonlinear conditions.
• The proposed method was validated on a Carsim/Simulink joint platform, demonstrating superior lateral stability compared to conventional approaches.
• The approach addresses the challenge of nonlinearities in distributed drive electric vehicles, enhancing direct yaw-moment control performance.