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This paper evaluates predictive control and necessary time horizon for heavy vehicle's active safety functionality by using an inverse model as predictor. The predictive driver interpreter provides the anticipating signals for limiting the forward velocity which can guarantee a manoeuvre's safe realization without loss of control. It has been integrated in a control allocation structure. The controller...
In this study, a collision avoidance method with model predictive control is proposed for a nonlinear model of a four-wheeled vehicle. The C/GMRES algorithm is used for solving the nonlinear model predictive control (NMPC) problem within a short sampling period. A nonlinear tire model is employed to represent the realistic behavior of a vehicle. Here, to consider whether it is possible to avoid an...
In this paper, convergent over approximations of the maximum function (previously introduced and used for designing strategies for multiple players in pursuit-evasion games) are used to accomplish two objectives for multiple vehicles scenarios: collision avoidance and trajectory tracking. The fact that these approximations are upper approximations of the maximum functions allows us to establish guarantees...
This paper describes the design of unified active safety framework that combines trajectory planning, threat assessment, and semi-autonomous control of passenger vehicles into a single constrained-optimal-control-based system. This framework allows for multiple actuation modes, diverse trajectory-planning objectives, and varying levels of autonomy. The vehicle navigation problem is formulated as a...
In this paper we investigate the possibility of applying the hybrid model predictive control (MPC) framework to solve a control problem regarding tracking of a moving vehicle. The study originates from the design of an adaptive cruise controller (ACC) of a Smart car, that aims to closely follow a reference trajectory transmitted by a leading vehicle. The physical behavior of the Smart and the constraints...
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