Define system to linearize, plot linear response,
validate linearization results

You can linearize a Simulink^{®} model
at the default operating point defined in the model. For more information,
see Linearize Simulink Model at Model Operating Point. You can also specify an
operating point found using an optimization-based search or at a simulation
time.

To extract the linearized response of a portion of your model, you can define specific linearization input and output points. For more information, see Specifying Portion of Model to Linearize. After linearization, you can analyze and validate your results in both the time domain and frequency domain.

Linear Analysis Tool | Linearize Simulink models |

`linearize` |
Linear approximation of Simulink model or subsystem |

`getlinio` |
Linearization input/output (I/O) settings for Simulink model, Linear Analysis Plots block, or Model Verification block |

`linio` |
Define linearization input/output (I/O) points for Simulink model |

`setlinio` |
Specify linearization input/output (I/O) points for Simulink model, Linear Analysis Plots block, or Model Verification block |

`linlft` |
Linearize model while removing contribution of specified blocks |

`linlftfold` |
Combine linearization results from specified blocks and model |

`linearizeOptions` |
Set linearization options |

Obtain a linear approximation of a nonlinear system that is valid in a small region around an operating point.

Simulink Control Design™ lets you perform linear analysis of nonlinear models using a graphical user interface, functions, or blocks.

Simulink Control Design software linearizes models using a block-by-block approach. The software individually linearizes each block in your Simulink model and produces the linearization of the overall system by combining the individual block linearizations.

**Linearize Simulink Model at Model Operating Point**

Linearize a model at the operating point specified in the model. The model operating point consists of the model initial state values and input signals.

You can linearize a block or subsystem in your Simulink model without defining separate linearization I/Os for the block inputs and outputs. The specified block or subsystem is isolated from the rest of the model before linearization.

You can analyze and compute the combined response of the plant and controller, excluding the effects of the feedback loop.

**How the Software Treats Loop Openings**

Loop openings affect only how the software recombines linearized blocks, not how the software linearizes each block. The software ignores openings when computing operating points.

**Ordering States in Linearized Model**

You can control the order of the states in your linearized model. This state order appears in linearization results.

**Linearize at Trimmed Operating Point**

You can linearize your Simulink model at an operating point that meets specified input, output, or state constraints.

**Linearize at Simulation Snapshot**

Simulate your Simulink model and extract the state and input levels of the system at specified simulation times.

**Linearize at Triggered Simulation Events**

You can linearize your Simulink model at specific events in time. Linearization events can be trigger-based events or function-call events.

**Specifying Portion of Model to Linearize**

Specify the subsystem, loop, or block to linearize using linearization I/O points and loop openings.

**Specify Portion of Model to Linearize in Simulink Model**

Linearization l/O points and loop openings that you define directly in your Simulink model are shown graphically and persist in the model.

**Specify Portion of Model to Linearize in Linear Analysis Tool**

You can specify one or more linearization I/O sets interactively in the Linear Analysis Tool without introducing changes to the model.

**Linearization of Models with Delays**

When linearizing a Simulink model with continuous time delay blocks you can use either approximate the delays or represent the delays exactly.

**Linearization of Multirate Models**

You can linearize Simulink models that include states with different sampling rates.

**Linearization of Models with Model References**

To achieve an accurate block-by-block linearization of a model reference subsystem, first set it to run its simulation in normal mode.

**Analyze Results With Linear Analysis Tool Response Plots**

Analyze the time-domain and frequency-domain responses of linearized models. You can compare the responses of multiple models and view system characteristics such as stability margins and settling time.

**Validate Linearization In Frequency Domain**

You can assess the accuracy of your linearization results by estimating the frequency response of the nonlinear model and comparing the result with the response of the linearized model.

**Validate Linearization In Time Domain**

You can assess the accuracy of your linearization results by comparing the simulated output of nonlinear model and the linearized model.

**Generate MATLAB Code for Linearization from Linear Analysis
Tool**

To reproduce your linearization results, you can generate MATLAB^{®} scripts
or functions using the Linear Analysis Tool.

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