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romAI
romAI Block
After you install the romAI library in Twin Activate, a new palette appears in the Palette Browser.
Advanced Use
The romAI block offers advanced options meant for improving the accuracy of the romAI model itself during time simulation.
Constraint Subtypes: Reinitialize State Variables
The state variable gets reinitialized to the reset value if the defined condition on the inputs is met.

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Reference Guides
Explore the Extended Definitions, OML Guides, Block Library, API Guide and Glossary.
- Extended Definitions for Advanced Users
  PDF file with in-depth information on key topics in the User's Guide.
- Scripting Guide for OpenMatrix Language
  OpenMatrix is a mathematical scripting language.
- Reference Guide for OpenMatrix Language Functions
  The Reference Guide contains documentation for all functions supported in the OpenMatrix language.
- Block Reference Guide
  Describes all of the blocks in the installed Twin Activate library.
- Function Guide for Twin Activate
  Provides information about developing and simulating models through the Twin Activate Application Program Interface.
- romAI
  - Introduction
    romAI is an application that is comprised of libraries from the Altair Composeand Altair Twin Activate software products.
  - Design Fundamentals
    romAI serves two purposes.
  - Theoretical Framework
    Some system theory terminology must be understood.
  - ROM Framework
  - Workflow
    The typical workflow has four steps.
  - Installation
    The romAI tool is enabled through Extension Manager.
  - GUI
    The first steps of the workflow are accomplished through the GUI.
  - Pre-Processor Tab
    The Pre-Processor tab contains the optional pre-processing step.
  - Builder Tab
    The Builder tab facilitates the training step.
  - Post-Processor Tab
    The Post-Processor tab lets you visualize and evaluate the trained ROM.
  - ROM Generation Tips
  - Batch Training
    The training procedure can be carried over without using the GUI.
  - Batch Execution
    The simulation and evaluation of a romAI model can be also done via batch in the Compose OML editor without the need to deploy the trained romAI model into a Twin Activate block, using the romAI_execute function.
  - romAI Block
    After you install the romAI library in Twin Activate, a new palette appears in the Palette Browser.
    - Basic Use
    - Advanced Use
      The romAI block offers advanced options meant for improving the accuracy of the romAI model itself during time simulation.
      - Define State Constraints
      - Constraint Subtypes: Reinitialize State Variables
        The state variable gets reinitialized to the reset value if the defined condition on the inputs is met.
      - Constraint Subtypes: Thresholding
        The state variable values can be limited within a range.
      - Define Stationary Constraints
      - Set Stationary Constraint Conditions
        You set stationary constraint conditions so that the variation of the state variables within a defined range is not considered.
      - Define Output Constraints
      - Set Output Constraint Conditions
        Each output can be constrained if a certain condition is met on the inputs, state variables or the output itself.
      - Use .MAT File
        When you enable this option, the weight and biases of the model are coded in a .MAT file during model export.
      - Use Activated romAI
        The Use activated romAI option is available only for dynamic models.
  - Examples
  - Frequently Asked Questions
- Glossary
  Key terms associated with the software.
Frequently Asked Questions
You've got questions? We've got answers!

Constraint Subtypes: Reinitialize State Variables

The state variable gets reinitialized to the reset value if the defined condition on the inputs is met.

Choose the state variable to be constrained.

In the State name column, click the ... button.
A list of the available state variables is shown.
Double-click the desired state variable.
Click OK.

Specify the reset condition.

Click the Expression Builder icon.
The Expression builder shows the variables and variable names for the expression.
Enter the condition in the Expression box and include the name of the listed variable.
Supported arithmetical operators can be included in the expression: (+ - * / ^), logical operators (| & ! ~), and relational operators ( > < >= <= == ~= <>). The expression must return a Boolean type.
Specify the Reset Value.