To improve the robustness against system uncertainties, an H∞ optimal control is designed by optimizing the H∞ norm of the system transfer function matrix.
Numerical results show that an optimal spray cooling unit can be designed by optimizing channel wall angle and droplet velocity.
The code is designed by optimizing the variable node degree distribution using density evolution under Gaussian approximation [1].
The desired motion path is designed by optimizing the mechanism's total potential energy map.
The HPLC method was designed by optimizing mobile-phase composition, flow rate, column temperature, and detection wavelength.
The code C 1 for BC mode, described by the parity-check matrix H1, is designed by optimizing the variable node degree distributions for R1=1/2, N c C 1 = 2, N s C 1 = 1, α C 1 = 1, β C 1 = 1, d v max C 1 = 11, and ρ C 1 = x 6.
A modified cup-like TW accelerating structure for TESLA Positron Pre-Accelerator (PPA) is designed by optimizing the structure geometry and by changing the iris thickness cell by cell in a section.
The code C 1 is designed by optimizing the variable node degree distributions for R1=0.9, N c C 1 = 2, N s C 1 = 1, α C 1 = 1, β C 1 = 1, d v max C 1 = 7, and ρ C 1 = x 29.
In the proposed method, FIR filter is designed by optimizing the integral squares in passband and stopband from ideal response such that the fractional derivatives of designed filter response become zero at a given frequency point.
In most studies, the gain function is designed by optimizing a criterion based on some assumptions of the noise and speech distributions, such as minimum mean square error (MMSE), maximum likelihood (ML), and maximum a posteriori (MAP) criteria.
