This control strategy offers various possibilities for the control law adjustment by means of the following parameters: the prediction horizon, the control horizon, the weights of the error and the command.
The incorporation of the variable switching and mixing factors of Section 4 has the potential to improve the performance of the above algorithm by optimizing the weighting of the error terms of (26).
Similar to the previous step, normalization of the column followed by computation of arithmetic mean of each row gives the respective weights of the errors under a particular criterion.
The PEP depends actually on the Hamming weight of the binary error codeword between and.
The selection of the test is based on a pair of selector statistics that measure respectively skewness and tail weight of the underlying error distribution.
The index n in is the power or weight of the considered error in the energy function of the segmentation problem, and V kl is the output of the kl th neuron.
If we were able to define the losses due to the poor estimates for each of the variables of interest (i.e. give relative weight to the errors of each variable), it is possible.
It also allows two unknown weighting parameters of the error variance model to be automatically estimated during the least squares fitting, thus best matching the weighting to the data and yielding most appropriate estimates of the parameters of the fitting model.
where d2 is the minimum weight of error paths in the second error event, and A is the set of all 64 states.
A total of 21 comparisons were performed to assess the number of errors, the weight of errors (ie, the volume difference between test and reference stimuli), and the direction of errors (ie, over- or underestimation of test stimulus).
