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The mode-dependent control gains are obtained by using an iterative linear matrix inequality (LMI) algorithm.
This optimization maximizes those reactions that produce >15 kJ/mol (limit on useable energy) using an iterative linear optimization technique.
In order to optimal tune gain elements, the problem is formulated via an H∞ static output feedback (H∞-SOF) control technique, and the solution is easily found using an iterative linear matrix inequalities (ILMI) algorithm.
The charge distribution surrounding the bubble was reconstructed using an iterative linear back projection (LBP) algorithm by assuming that the bubble is symmetrical and the charge around the bubble remains constant as the bubble rises.
Then, for obtaining an appropriate level of performance, robust local stabilising PI controllers are designed for each of the decoupled areas using an iterative linear matrix inequality (ILMI) algorithm such that asymptotic stability with a minimal H∞ performance level is achieved.
In this paper, we have designed an algorithm (ISP) to reconstruct transcriptomes for multiple sample RNA-Seq data that is able to handle errors effectively by using an iterative linear programming (or integer linear programming) approach.
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They used an iterative linear regression algorithm based on intensity data from several scans for correcting spot intensities both above and below the usable range.
Using an iterative procedure, linear chains are created based on the molecular weight distribution (MWD) of linear Ziegler Natta polypropylenes as determined by GPC.
Subprogram CURVEFIT uses the initial guess values from AUTOGUESS and improves their accuracy using an iterative, complex, non-linear least squares method.
For each pixel in the series of time-gated images, a lifetime value was computed using an iterative weighted non-linear least-squares (WNLLS) algorithm to fit a mono-exponential decay curve to the data.
The optimization problem is shown to be non-linear in nature and solutions are obtained by using an iterative technique which is based on linear programming method.
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