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There is a matter, however, it will do no harm to mention here
Similar to the approach used in solving the system identification problem for the modeling data, this problem can also be solved using \(l_1\)norm relaxation where \(C_p^N\) is the unknown coefficients, \(\delta (k)\) is the error between the overall model response and the output at time \(k\), and \( \mid\mid\mid\mid_1\) is the sum of the absolute values of \(\mid\mid\mid\mid_1\)
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