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FORMULATION OF THE PROBLEM
A NEW METHOD FOR THE SOLUTION OF NONLINEAR LEAST
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applicable Bode gain building calculate column vectors condition number consider criterion maximal change dependent derivatives determined digital computer direction vector dynamic system e(xk eigenvalues error criterion error vector Finish the iteration functions f Gauss-Newton method given by eq given fixed values given mathematical model Gram determinant Hartley's method impulse response inequality input instance iteration steps least squares problems least sum linear equations linear least squares linearly independent vectors logic diagram means minimum necessary nonlinear least squares null vector number of iteration numerical method obtain output f(t parameter vector performance phase angle plot positive definite possible proposed method pseudoinverse rank scalar selection procedure simplified mathematical model singular value decomposition slope solution of nonlinear solved squares Q starting point step response step-length factor subspace sum of squares switching instants system of linear transfer function G(s transfer system universal gradient method upper bound utilize valid vectors dj zero