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A Nonlinear Model Predictive Control (NMPC) approach to improve vehicle yaw stability and handling by means of a rear active differential is introduced. In particular, the use of NMPC is adopted to show its effectiveness in the vehicle stability control context. However, the application of NMPC for automotive control is limited by the required computational load, which is often incompatible with the...
A new formulation of model-predictive control (MPC) for continuous-time nonlinear systems is developed, which allows for the use of ldquoreal-timerdquo (RT) optimization techniques in which the solution to the finite-horizon optimal control problem (OPC) evolves within the same timescale as the process dynamics. The computational savings of the RT solver are enhanced by the unique framework within...
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