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Classical optimal control methods require complete information of the dynamic processes, which means that for a system with unpredictable but measurable disturbances, the optimal control and minimum cost can only be calculated after the process is finished. In some applications, the absolute value of the cost may be of less interest than the relative cost, which is defined as the ratio between the...
In this paper, we investigate the cycle-based sizing optimization for diesel-engine two-cell selective catalytic reduction (SCR) systems. In modeling the SCR system, it is generally assumed that the states inside the catalyst can are homogeneous to simplify the modeling work. However, the actual states are not homogeneous, and the modeling error becomes large if the catalyst length is long. To reduce...
Fixed-route driving is very common in real world, and it is different from the fixed-cycle driving in which no uncertainties are included. However, most hybrid electric vehicle (HEV) energy management strategies are developed under fixed cycles and there is not guarantee of performance of these strategies under the real-world driving conditions. The knowledge of fixed-cycle HEV optimal control usually...
In this work, we investigate the cycle-based optimal emission control for Diesel engine selective catalyst reduction (SCR) systems. Considering the main chemical reactions inside a SCR cell, a three-state nonlinear model is obtained and the system parameters are determined by using the experimental data. Though there are considerable works on the SCR dosage control in the literature, the optimal control...
This paper investigates a hierarchically coordinated vehicle dynamics control approach with individual wheel torque and steering actuation. A high-level robust nonlinear sliding mode controller is designed to determine the generalized forces/moments required to achieve vehicle motion objectives. A weighted pseudo-inverse based control allocation method is employed for computationally efficient distribution...
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