… control [41]. This method showed that the predictive control is capable of the direct control of
… A model predictive current control (MPCC) algorithm tracks the phase currents based on the …

… motor with regenerative braking and boosting capabilities. This hybrid electric powertrain is
con… The optimality of the presented controller is verified using a benchmark simulator, and its …

… only in offline design processes or as benchmarks for evaluating other EMSs. … benchmark.
From these researches, it can be found that accuracy of Markov based prediction algorithms …

… A 32-bit floating point DSP TMS320F28335 is employed to accomplish the two control
algorithms and the load torque is provided by a magnetic powder brake. A 2000 P/R incremental …

… Therefore, the brake control algorithm, which was developed in this study … algorithm are
realised by the conventional hydraulic brake system and the decoupled electrohydraulic brake …

… In this last section the proposed control algorithm is tested in simulation and compared
with a classical benchmark solution for slip control in ABS. We specify that the ABS activation …

… improvement by design of a novel ABS algorithm. The … 7, the NMPC is again outscoring the
benchmark on overall braking … As showed by the brake distance and ABS efficiency metrics, …

… emergency braking scenarios, and its performance is benchmarked … control. In this context,
this paper presents an explicit NMPC algorithm—so-called explicit nonlinear model predictive …

… or regenerative braking. A power-split device (PSD), which contains a planetary gear set. …
kinetic energy for the dynamic programming algorithm, So, the control inputs Tice and Tem are …

… study, a nonlinear model predictive control (NMPC) design … benchmarked against currently
applied industrial controller. … -known PID algorithms up to complex hybrid control methods. …