Abstract
A new decision algorithm for ACC systems is proposed. Feasible driving set is defined based on state and control constraints, which represent driver behavior features. And based on the analysis of collected driving data, a second-order range policy is selected to approach real driver behavior. Under dynamic output feedback control framework, the decision algorithm has been developed based on quadratic boundedness theory and given in terms of linear matrix inequalities. Performance of the proposed algorithm is verified by Simulink and Carsim co-simulation.
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