The aim of the paper is to improve drivability of passenger cars under uncertain driving conditions by adding a proper rear steering strategy. This strategy is optimized in the frequency domain where the objectives concern lateral acceleration and yaw velocity. Due to the uncertainties the objectives are random variables. Therefore, mean values are minimized to obtain best mean behavior, and variances are minimized to achieve best robustness against change of car parameters. Comparison with a reference car shows improved results for both criterion values and probability distributions, and analysis of results in time domain validates the eligibility of the objectives.

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