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Results: The system parameters provide more repeatable measures than do input or output parameters alone because they quantify the input and output simultaneously and dynamically.
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Our results reveal a simple connection with system parameters, providing good insights for the design of MIMO diversity systems.
In the following, we discuss the observations obtained from the numerical analysis of the proposed SON enabled ANS schemes described in Sections 3 and 4 when using the system parameters provided in Table 2.
In this context, optimizing experiments to be conducted in order to better estimate a system's parameters provides a promising direction to alleviate the difficulty of the task.
These results show how the adaptive backstepping law updates the system parameters and provide an efficient control design both for tracking and regulation in order to improve the power factor.
Also in this section, a system design is presented to summarize some of the common system parameters and provide a brief description of the IEEE 802.16 standard.
Most of these models focus on intracellular biochemical reactions and require accurate estimation of a very large number of system parameters for providing systemic understanding of underlying processes.
Overall, the model predicts the various system parameters satisfactorily, providing a firm basis for the development of a design methodology for three-phase airlift (TPAL) reactors.
The detailed system parameters are provided in Appendix 1.
In Table 1, a complete set of OFDM system parameters is provided, which satisfies general conditions for vehicles.
Typically, a command’s parameters provide information used in the system call invocation.
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