Professor Klaus Nordhausen develops modern multivariate statistical methods to analyze high-dimensional and large datasets in different fields.

Discover how quality control charts help track product standards, pinpoint issues, and ensure processes meet specifications with this essential tool for quality assurance.

Abstract: A novel data-driven technique for performance assessment of multivariate control loops that takes into account the interactions within the system is proposed. The technique merges the ...

Paper aims Based on challenges faced in real SPC application, this paper considers implementation and performance of self-starting methodology in multivariate process monitoring. Originality ...

Abstract: The pendulum-swing problem is a factor that limits the development of parafoil-unmanned aerial vehicle (UAV) systems. Autonomous attitude control based on parafoil and UAV control mechanisms ...

Summary: Researchers made a breakthrough in understanding how the brain manages to focus in noisy environments, distinguishing between enhancing relevant information and tuning out distractions. Their ...

Jason Wojnar started his gaming life with the original PlayStation and the Commodore 64, despite being way too young to know what the was. He started writing about video games in 2018 and hasn't ...

A steel industry example shows how Industry 4.0 and control engineering intersect. This feature originally appeared in the October 2023 issue of InTech digital magazine. Control engineering is a ...

Just as eyesight and other optics must be focused enough to pick out useful objects, maps must be detailed enough to show points of reference in relation to each other. But, if important details, ...

Figure 1: A biologics manufacturing process consists of three main steps. Continued process verification (CPV) is an integral part of process validation for the manufacture of human and animal drugs ...

Figure 1: Hierarchical model schematic; information from all base-level models is communicated to a top-level model through their respective matrices (T j) into a consensus matrix R. R is used to ...

In this paper we proposed a new statistical test for testing the covariance matrix in one population under multivariate normal assumption. In general, the proposed and the likelihood-ratio tests ...