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In this paper, we study how different choices of control variables affect robustness with respect to uncertainties.
The result is a simple analytical model that shows how the process operates for various choices of control structure.
The technique, based on appropriate choices of control Lyapunov functions (CLF), determines the optimal values of the parameters, with respect to the CLF choice, which guarantee the asymptotic stability of the equilibrium of the considered system.
This means that more solutions with high TAA exist for these choices of control.
Takahashi and Kim [1] proved that, for any initial data x 1 in C, the sequence { x n } of iterations defined by the Ishikawa iteration (1.2) converges weakly to a fixed point of T, with appropriate choices of control sequences { β n } and { γ n }.
As the control parameters are optimised subject to H0 before simulating LRT, perhaps other choices of control parameters while retaining H0 might yield different estimates of the null distribution of LRT subject to H0.
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The withdrawal symptoms from economic stimulation are also a critical problem as the government struggles between the unpleasant choices of controlling inflation with higher interests or suppressing the economy with these same increased interest rates.
Also, with the right choice of control strategy by embedding micro-scale controller, this study shows that more complex controller algorithms might not be necessary.
Especially, if the formation does not have any uncertainties, the designer can simply set the controller via an appropriate choice of control gains to avoid system actuator saturation.
The choice of control parameters takes into account the control cost and robustness of the controller.
Specifically, it discusses implications of the choice of control group.
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