conformantSynthesisLinear

conformant synthesis for linear models

Contents

Syntax

Description

This function computes the model uncertainty that is required such that the uncertain model encloses all measurements of the real system. The model uncertainty consists of a set of uncertain inputs W and a set of measurement errors V.

Input Arguments

A	system matrix of the linear model (dimension: [nx,nx])
B	input matrix of the linear model (dimension: [nx,nu])
D	disturbance matrix of the linear model (dimension: [nu,nw])
c	constand offset of the linear model (dimension: [nx,1])
measurements	cell-array storing the measurements of the real system, where each cell is a struct with the following fields: .x matrix storing the measured trajectory of the real system (dimension: [n,N]) .u matrix storing the input signal corresponding to the measured trajectory (dimension: [m,N-1]) .t vector storing the time points for the measured trajectory (dimension: [1,N])
Opts	a structure containing the algorithm settings .set string specifying the type of set which is used to represent the uncertainty. [{'interval'} / 'zonotope'] .group number of measurements grouped together [{1} / positive integer] .measErr use measurement error to capture uncertainty [{false} / true] -.mu tradeoff between uncertain inputs and measurement errors [{0.5} / double between 0 and 1]

Output Arguments

W	resulting set of uncertain inputs
V	resulting set of measurement errors

See Also

conformantSynthesis, conformantSynthesisNonlinear

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Published with MATLAB® R2022a