Abstract: Existing scalable control methods mainly rely on a fixed block-diagonal structure for the Lyapunov matrix, potentially resulting in numerical infeasibility issues. To overcome this ...

This paper presents an advanced control strategy for DC-DC buck converters utilizing Non-Minimal State Space (NMSS) representation combined with Proportional-Integral-Plus (PIP) control, optimized ...

Coordinating the movements of a robotic fleet using consensus-based techniques is an important problem in achieving the desired goal of a specific task. Although most available techniques developed ...

cov1Para: Linear shrinkage towards one-parameter matrix; all the variances are the same, all the covariances are zero. See Ledoit and Wolf (2004b). cov2Para: Linear shrinkage towards two-parameter ...

Independent component analysis (ICA) is a multivariate approach that has been widely used in analyzing brain imaging data. In the field of functional near-infrared spectroscopy (fNIRS), its promising ...

Created with R2024a. Compatible with R2024a and later releases. This curriculum module contains interactive MATLAB® live scripts that teach fundamental matrix methods commonly taught in introductory ...

Many real-world data are inherently multidimensional; however, often data are processed as two-dimensional arrays (matrices), even if the data are naturally represented in higher dimension. The common ...