Search Results for "statistical process control"

...The simulations include a number of the techniques described in Applied Process Control – Essential Methods, and that book’s accompanying volume, Applied Process Control – Efficient Problem Solving. Actually, RTC is not merely a suite of simulations: Each application can be switched from “MODEL” to “PLANT” mode for real-time control of equipment through a somewhat basic interfacing arrangement. In “MODEL” mode, time can be accelerated or frozen.

ViennaTS is a C++, OpenMP-parallelized Topography simulator, focusing on processing challenges for micro- and nanoelectronics. At its core is the Level Set framework, allowing for an implicit surface description of material surfaces and interfaces. Within this framework models for geometry manipulation such as boolean operations and chemical mechanical planarization have been implemented. The tool supports several etching and deposition models, essential for the understanding of...

...If it is all done you can let it run observing what kind of genes prevail over time. The tool typically runs the same world (experiment scenario) over and over again to have a statistical understanding of the various replicator strategies.

This program was developed as a help in establishing pharmaceutical equivalence by use of FDA f2 coefficient. It was designed to help with f2 computation in cases when intra- and inter-batch variability is large, namely RSD>10%. The use of statistical bootstrap technique allows to implement confidence interval (CI) into the f2 coefficients resulting in overcoming of their major drawback in the original metrics. The algorithm provides possible “worst case scenario” of f2 values, thus...

...It's main purpose is to help researchers with to develop mobile manipulators and, in general, any multi-body system. It is open-source, modular, easy to learn and use, and can be a valuable tool in the process of robot design, in the development of control and reasoning algorithms, as well as in teaching and educational activities.

Differential-algebraic simulator in python. Process and control systems are modelled w/ bloc diagrams. It allows algebraic loops, has an automatic steady-state computation, detects singular systems, and uses variable time-step transient integration.

Integrated environment for the modelling and simulation of process control systems, where the plant(s) are described according to the Modelica object-oriented paradigm, while the control systems are specified in an IEC 61131.3-compliant language.