getLimits

Validity range for uncertain real (ureal) parameters

Syntax

[ActLims,NormLims] = getLimits(ublk)

Description

When the uncertainty range of a ureal parameter is not centered at its nominal value, there are restrictions on the range of values the parameter can take. For robust stability analysis, these restrictions mean that the smallest destabilizing perturbation of the parameter may be out of the reach of the specified ureal model. Use getLimits to find out the range of actual and normalized values that a ureal parameter can take.

[ActLims,NormLims] = getLimits(ublk) computes the intervals of actual and normalized values that an uncertain real parameter can take. For meaningful analysis results, the actual and normalized values of ublk must remain in these intervals. Values outside these intervals are essentially meaningless. In other words, ActLims and NormLims are the ranges of validity of the uncertainty model for real parameters.

Examples

Validity Range for Uncertain Parameters

Create a ureal uncertain parameter with range centered at the nominal value.

ublk = ureal('a',1,'range',[-1 3])

Uncertain real parameter "a" with nominal value 1 and range [-1,3].
Block Properties

For such a parameter, b = 0 (see Algorithms), so there is no constraint on the values that the actual uncertainty (ublk) and the normalized uncertainty (Δ) can take. Use getLimits to confirm the ranges of the actual and normalized uncertainty.

[ActLims,NormLims] = getLimits(ublk)

ActLims = 1×2

  -Inf   Inf

NormLims = 1×2

  -Inf   Inf

Skew the uncertainty range to the right of the nominal value (DL < DR).

ublk.PlusMinus = [-1 2] 

Uncertain real parameter "a" with nominal value 1 and range [0,3].
Block Properties

Now, the values that ublk and Δ can take for analysis purposes are limited.

[ActLims,NormLims] = getLimits(ublk)

ActLims = 1×2

   -3.0000       Inf

NormLims = 1×2

  -Inf     3

Input Arguments

ublk — Uncertain real parameter

ureal

Uncertain real parameter, specified as a ureal object.

Output Arguments

ActLims — Limits on actual uncertainty

2-element row vector

Limits on the actual uncertainty range taken by ublk for analysis purposes, returned as a 2-element vector of the form [min,max]. When the uncertainty range specified in ublk is centered on the nominal value, ActLims = -Inf,Inf.

NormLims — Limits on normalized uncertainty

2-element row vector

Limits on the normalized uncertainty range of ublk used for analysis purposes, returned as a 2-element vector of the form [min,max]. When the uncertainty range specified in ublk is centered on the nominal value, NormLims = -Inf,Inf.

Algorithms

Analysis functions such as robstab and robgain model uncertain real parameters as:

$$u=u_{nom}+\frac{a\Delta }{1-b\Delta },a>0,$$

where u is the actual value, u_nom is the nominal value, and Δ is the normalized value. When the uncertainty range is centered at the nominal value, there are no restrictions on the values u or Δ can take. However, when the uncertainty range is skewed, there are limitations on these values. To ensure continuity, the analysis functions restrict the values Δ and u to the ranges:

$$\begin{array}{l}\Delta <\frac{1}{\left|b\right|},u>\left(u_{nom}-\left|\frac{a}{b}\right|\right),\text{for}DL<DR\\ \Delta >-\frac{1}{\left|b\right|},u<\left(u_{nom}+\left|\frac{a}{b}\right|\right),\text{for}DL<DR,\end{array}$$

where DL and DR define the uncertainty range of u, [u_nom–DL,u_nom+DR]. Note that b and DR–DL always have the same sign.

Version History

Introduced in R2018a