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Let (mu^) and (nu^) denote the characteristic firing rate mean and variance determined from the parameters of the control system parameters using Theorem 1.
Linear regression models are used to predict the functional relationship between system performance and the key system parameters using data sets.
So, by choosing only the modulation order of the constellation and the diversity order of MRC, we can study the impact of diversity reception, which removes the need for Monte Carlo simulations to optimize any wireless system parameters using TQAM.
The obtained analytical results were verified for selected values of system parameters using computer simulations and with the aid of time histories, phase planes, Poincare map, FFT and Lyapunov exponents.
The fault tolerant inverse optimal controller demonstrates excellent system performance and robustness against variations in system parameters using less control effort in the order of a fraction of a centimeter and faster convergence.
It is demonstrated that the stability diagram for an application can be modified in a predictable manner in order to maximize the chatter-free material removal rate by selecting favorable system parameters using the analytical model developed.
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Table 2 shows the system parameters used in the simulation.
The primary system parameters used are summarized in Table 1.
In Table 1, we list the system parameters used in the simulations.
In Table 1, we provide the IEEE 802.11 system parameters used for our simulation.
Tables 1, 2, and 3 shows the system parameters used in the simulation.
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