Abstract: A computer-implemented method for moving a first mobile object at a traffic node includes determining a state of the first mobile object including a position, a velocity, or an acceleration of the first mobile object, and receiving a trajectory of a state of a second mobile object at the traffic node. The method further includes determining a constraint for the state of the first mobile object based on the received trajectory of the state of the second mobile object, and determining a trajectory of the state of the first mobile object based on the state of the first mobile object using a model configured to predict the trajectory of the state of the first mobile object based on (i) a trajectory of a driving signal for moving the first mobile object, and (ii) the state of the first mobile object.

Abstract: A computer-implemented method for designing a state controller with stochastic optimization. The method includes receiving a state space model for describing a system to be controlled, wherein the state space model comprises a system matrix, a state vector which contains one or more state variables, an input matrix, and an input variable vector, wherein the input variable vector is based on the state vector and a feedback matrix which describes the state controller, and the one or more state variables are described on the basis of one or more probability distributions. The method further includes describing an optimization problem which includes a cost function which is calculated at least using the system matrix, the feedback matrix, an initial state, and the input matrix, and solving the optimization problem in order to determine the entries of the feedback matrix.