Through numerical analysis, we provide practical insights about the effects of testing equipment shift rate, testing errors, and different costs such as cost of testing and cost of rejecting conforming products on the optimal decision and the system performance.
Assuming imperfect CSI, we evaluate the effect of optimal channel quantization on the system performance.
For a given set of operating conditions, Ta and Tg possess optimal values based on the system performance.
The optimal design process of a ground source heat pump includes thermal modeling of the system and selection of optimal design parameters which affect the system performance as well as initial and operational costs.
In this subsection, we verify the accuracy of the theoretical optimal deterministic delay and illustrate that the optimal deterministic delay can significantly improve the system performance.
However, at low to moderate channel SNR, the optimal precoder is seen to improve the system performance, the improvement being dependent on the degree of spatial correlation in the channel coefficients.
Case study shows that this new modeling mechanism along with the implemented computer program not only can ease the process of developing the optimal resource combination but also improve the system performance of the simulation model.
Then, the controller uses conventional Proportional-Integral-Derivative control theory, and a robust two-degree-of-freedom controller is also carried out to determine the optimal control parameters to further improve the system performance.
The response plots obtained at P o = 1.0 for various states of the system, using various controllers are shown in Figs. 4, 5, 6, 7, and 8. From the response plots, it is revealed that both optimal and suboptimal controllers have stabilized the system performance.
Sensitivity analysis shows that the system performance is nearly optimal in all scenarios.
