Abstract
Based on a brief review of the developing history of vehicle handling inverse dynamics. Using radial basis function neural networks, completely considered the cornering force of tyres, the nonlinear mapping relation between lateral angular velocity and steering angle input is found. The identification results of step steering angle input show the feasibility of the approach and its advantage in accuracy, convergence and stability.
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