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where are given weighting matrices.
Especially, the nonnegative restriction of weighting matrices is released.
These include prediction horizons, weighting matrices and ways to perfonn the estimation.
In Basic Methods, we propose three groups of weighting matrices, which are generated by random selection.
This paper investigates the use of weighting matrices to improve the harmonic balance identification (HBID) method for identifying nonlinear oscillators.
Weighting matrices of LQ optimal PIP control structure were achieved based on ITAE criteria for the column.
Simulation and experimental results are included, using different adjustments of the weighting matrices based on the performed experiments.
The zero pattern in weighting matrices is determined in advance, while the non-zero entries of weighting matrices are determined by finding the optimal solution in a hyperplane of α points generated by the parallel multisplitting iterations.
w(p,q) and w(p d,q d ) are weighting matrices and are taken as [20] mentioned.
where W1 and W2 are weighting matrices and a specific choice of them leads to different algorithms [1].
For selecting the quadratic cost weighting matrices, we propose a scheme based on Monte Carlo simulation of the system with the deterministic dynamic programming solution.
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