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The SMPC combines the main advantages of the two control methods: the robust features of SMC and the good performance of MPC, including the handling of constraints on manipulated and controlled variables.
Thirdly, compared to stochastic optimization methods, the robust method employed in this paper doesn't need the probability distribution function (PDF) of transient power sags which is hard to obtain.
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Furthermore, the proposed robust design outperforms both the nonrobust method and the robust method with [15].
Interestingly, for ICC = 0.25, this sample size combination produced the largest number of occasions on which the BS2 method outperformed the robust method, namely eight.
Methods for the robust reconstruction of image points and lines into scene features are developed.
When ρ=1, performance of the proposed methods and the robust algorithm against CSI estimation error become same.
Fundamental to the success of the method is the robust generation of bulk and surface meshes.
The center of the eigenphone adaptation method is the robust estimation of the eigenphone matrix V.
When the cluster number is greater than 30, all the methods are robust to the variations of the cluster sizes.
However, the problem has become better defined, the methods more robust, and the relevant data more abundant.
† The intercept estimate was -1.5147 for the log-binomial method and -1.8311 for the Robust Poisson method.
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