An operating point of a dynamic system specifies the initial states and root-level input signals of the model at a particular time. You can find operating points using command-line tools or the Linear Analysis Tool. For more information about operating points, see About Operating Points and Compute Steady-State Operating Points.
|Operating point specifications|
|Initialize operating point specification values|
|Add output specification to operating point specification|
|Get index of a state element of an operating point specification or operating point|
|Get index of an input element of an operating point specification or operating point|
|Get index of an output element of an operating point specification|
|Trigger-Based Operating Point Snapshot||Generate operating points, linearizations, or both at triggered events|
An operating point of a dynamic system defines the states and root-level input signals of the model at a specific time.
To obtain a steady-state operating point, you can trim your model using numerical optimization techniques or simulate your model until it reaches a steady-state condition.
The operating point object used for linearization
and control design does not include
You can view and modify operating point values at the command line and using the Linear Analysis Tool.
Find a steady-state operating point that meets your state specifications. You can fix states at known equilibrium values or constrain states within a specified range of values.
Find a steady-state operating point that meets your output specifications. You can fix outputs at known equilibrium values or constrain outputs within a specified range of values.
When you modify an operating point specification in the Linear Analysis Tool, you can export the specification to the MATLAB® workspace or the Linear Analysis Tool workspace.
You can control the accuracy of your operating point search by using different optimization methods.
If you know the approximate time when the model reaches the neighborhood of a steady-state operating point, you can use simulation to get state values to use as the initial conditions for numerical optimization.
Simulate your model and find an operating point that consists of the state values and model input levels at a specified simulation snapshot time.
To find operating points for Simscape™ models, you can trim the models using projection-based trim optimizers, or take simulation snapshots at specified times.
Modifying your Simulink® model can change, add, or remove states, inputs, or outputs, which changes the operating point.
You can derive your Simulink model initial conditions from your computed operating point.
Trim Simulink models using additional user-specified constraints and objective functions.
Generate code for linearization and modify the script to batch linearize your model.
Vary model parameters and batch trim your model to find corresponding operating points.
Find operating points for multiple operating point specifications using a single model compilation.
You can generate a MATLAB script to programmatically reproduce an operating point search result that you obtained interactively.