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Check Singular Value Characteristics

Check that singular value bounds are satisfied during simulation

Library

Simulink® Control Design™

Description

This block is same as the Singular Value Plot block except for default parameter settings in the Bounds tab:

Check that upper and lower bounds on singular values of a linear system, computed from a nonlinear Simulink model, are satisfied during simulation.

The Simulink model can be continuous-time, discrete-time or multi-rate and can have time delays. The computed linear system can be Single-Input Single-Output (SISO) or Multi-Input Multi-Output (MIMO).

During simulation, the software linearizes the portion of the model between specified linearization input and output, computes the singular values, and checks that the values satisfy the specified bounds:

  • If all bounds are satisfied, the block does nothing.

  • If a bound is not satisfied, the block asserts, and a warning message appears at the MATLAB® prompt. You can also specify that the block:

    • Evaluate a MATLAB expression.

    • Stop the simulation and bring that block into focus.

During simulation, the block can also output a logical assertion signal:

  • If all bounds are satisfied, the signal is true (1).

  • If a bound is not satisfied, the signal is false (0).

For MIMO systems, the bounds apply to the singular values computed for all input/output combinations.

You can add multiple Check Singular Value Characteristics blocks in your model to check upper and lower singular value bounds on various portions of the model.

You can also plot the singular values on a singular value plot and graphically verify that the values satisfy the bounds.

This block and the other Model Verification blocks test that the linearized behavior of a nonlinear Simulink model is within specified bounds during simulation.

  • When a model does not violate any bound, you can disable the block by clearing the assertion option. If you modify the model, you can re-enable assertion to ensure that your changes do not cause the model to violate a bound.

  • When a model violates any bound, you can use Simulink Design Optimization™ software to optimize the linear system to meet the specified requirements in this block.

You can save the linear system as a variable in the MATLAB workspace.

The block does not support code generation and can be used only in Normal simulation mode.

Parameters

The following table summarizes the Singular Value Plot block parameters, accessible via the block parameter dialog box. For more information, see Parameters in the Singular Value Plot block reference page.

TaskParameters
Configure linearization.Specify inputs and outputs (I/Os).In Linearizations tab:
  • Linearization inputs/outputs

  • Click a model signal to add it as a linearization I/O

Specify settings.In Linearizations tab:
  • Linearize on

  • Snapshot times

  • Trigger type

Specify algorithm options.In Linearizations tab:
  • Enable zero-crossing detection

  • Use exact delays

  • Linear system sample time

  • Sample time rate conversion method

  • Prewarp frequency (rad/s)

Specify labels for linear system I/Os and state names.In Linearizations tab:
  • Use full block names

  • Use bus signal names

Specify bounds on the linear system for assertion.In Bounds tab:
  • Include upper singular value bound in assertion

  • Include lower singular value bound in assertion

Specify assertion options (only when you specify bounds on the linear system).In Assertion tab:
  • Enable assertion

  • Simulation callback when assertion fails (optional)

  • Stop simulation when assertion fails

  • Output assertion signal

Save linear system to MATLAB workspace.Save data to workspace in Logging tab.
View bounds violations graphically in a plot window.Show Plot
Display plot window instead of block parameters dialog box on double-clicking the block.Show plot on block open

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