Uncertainties

Transparent calculations with uncertainties on the quantities involved (aka "error propagation") ; fast calculation of derivatives uncertainties allows calculations such as (2 ?*A* 0.1)*2 = 4 ?*A* 0.2 to be performed transparently. Much more complex mathematical expressions involving numbers... Platforms: *nix

Most pH control processes are inherently high nonlinear and uncertainties with large time delay and therefore cannot be adequately controlled with a conventional PI control. In our term project, an approach to pH neutralization process control using switching ADRC with Smith Predictor will be... Platforms: Matlab

Randomized Algorithms Control Toolbox is a Matlab toolbox, provides analysis and synthesis methods for control problems with uncertainties. Platforms: Windows, Mac, Linux

The struct has two levels. The first level is the name of the constant. The second level has fields: "value", "uncert" and "unit".Example: phc = fundamentalPhysicalConstantsFromNIST(); phc.speed_of_light_in_vacuum.valuereturns 299792458and phc.speed_of_light_in_vacuum.unitreturns ms^-1Data was... Platforms: Matlab

pbest=EASYFIT(x,y,varargin) fits the data Y = f(X) to a model function Y = FUN(P,X).If FUN is not given as an input argument, POLYFIT is used as the model function.Bounds on the parameters P may be set.By default a plot is generated which presents the data as well the "best" curve, confidence... Platforms: Matlab

It is desired for modern process systems to achieve optimal operation. However, operation at a pre-designed nominally optimal point may not necessarily be actually optimal due to realtime disturbances, measurement and control errors and uncertainties. Self-optimizing control aims to tackle this... Platforms: Matlab

The purpose of Input Shaping is to filter out big changes (typically steps) in the reference signal of a closed-loop system which excite all the modes of the plant causing relevant snap overshoots and oscillations in the response.The underlying working principle is to apply the step in subsequent... Platforms: Matlab

Design of a robust digital controller with PPR toolboxThis script shows the basic steps for the "digital two degrees of freedom controller" (2DOF) design with the PPR toolbox.The illustration of our methodology is based on a difficult plant control. To get a 2DOF controller, only 2 "high level"... Platforms: Matlab

Acovea implements a genetic algorithm for finding the "best" options for compiling programs with the GCC C and C++ compilers. ACOVEA (Analysis of Compiler Options via Evolutionary Algorithm) implements a genetic algorithm to find the "best" options for compiling programs with the GNU Compiler... Platforms: *nix

CurveExpert Professional is a cross-platform solution for curve fitting and data analysis. Data can be modelled using a toolbox of linear regression models, nonlinear regression models, smoothing methods, or various kinds of splines. Over 60 models are built-in, but custom regression models... Platforms: Mac

CurveExpert Professional is a cross-platform solution for curve fitting and data analysis. Data can be modelled using a toolbox of linear regression models, nonlinear regression models, smoothing methods, or various kinds of splines. Over 60 models are built-in, but custom regression models... Platforms: Windows

CurveExpert Professional is a cross-platform solution for curve fitting and data analysis. Data can be modelled using a toolbox of linear regression models, nonlinear regression models, smoothing methods, or various kinds of splines. Over 60 models are built-in, but custom regression models... Platforms: Linux

RECOVER Fixed/Floppy Disk v1.4 ( 5-star rated). Folder / File level Data Recovery Utility for Hard Disk Drives and Floppy Disks. RECOVER Fixed/Floppy Disk handles File Allocation Table (FAT) damage and subfolder damage. If FAT damage should not affect you, just defragment the file system as... Platforms: Windows

fitChiSquare is a generalized chi-square fitting routine for any model function when data measurement errors are known; it returns the model parameters and their uncertainties at the delta chi-square = 1 boundary (68% confidence interval). It also returns the chi-square and degrees of freedom... Platforms: Matlab

easyfitGUI(varargin) fits real data Y = f(X) easyfitGUI open a figure with uimenus devoted to process the data. VARARGIN: one or several matrix [X, Y] having: first column = vector of the independant variable (X) second column = vector of the dependant variable (Y). The Y-data are plotted... Platforms: Matlab