## Linearizing Models

### About Linearizing Models

The Simulink^{®} product
provides the ` `

, `linmod`

`linmod2`

,
and `dlinmod`

functions to extract linear models
in the form of the state-space matrices *A*, *B*, *C*,
and *D*. State-space matrices describe the linear
input-output relationship as

$$\begin{array}{l}\dot{x}=Ax+Bu\\ y=Cx+Du,\end{array}$$

where *x*, *u*, and *y* are
state, input, and output vectors, respectively. For example, the following
model is called `lmod`

.

To extract the linear model of this system, enter this command.

[A,B,C,D] = linmod('lmod') A = -2 -1 -1 1 0 0 0 1 -1 B = 1 0 0 C = 0 1 0 0 0 -1 D = 0 1

Inputs and outputs must be defined using Inport and Outport blocks from the Ports & Subsystems library. Source and sink blocks do not act as inputs and outputs. Inport blocks can be used in conjunction with source blocks, using a Sum block. Once the data is in the state-space form or converted to an LTI object, you can apply functions in the Control System Toolbox™ product for further analysis:

Conversion to an LTI object

sys = ss(A,B,C,D);

Bode phase and magnitude frequency plot

bode(A,B,C,D) or bode(sys)

Linearized time response

step(A,B,C,D) or step(sys) impulse(A,B,C,D) or impulse(sys) lsim(A,B,C,D,u,t) or lsim(sys,u,t)

You can use other functions in the Control System Toolbox and the Robust Control Toolbox™ products for linear control system design.

When the model is nonlinear, an operating point can be chosen
at which to extract the linearized model. Extra arguments to `linmod`

specify
the operating point.

[A,B,C,D] = linmod('sys', x, u)

For discrete systems or mixed continuous and discrete systems,
use the function `dlinmod`

for
linearization. This function has the same calling syntax as `linmod`

except that the second right-hand
argument must contain a sample time at which to perform the linearization.

**Linearization with Referenced Models**

You can use `linmod`

to extract a linear model from a Simulink® environment that contains Model blocks. For example, open the referenced model `mdlref_dynamics`

and the top model `mdlref_f14`

.

open_system('mdlref_dynamics'); open_system('mdlref_f14');

In the `mdlref_f14`

model, the Aircraft Dynamics Model block references the m`dlref_dynamics`

model.

To linearize the `mdlref_f14`

model, use the `linmod`

command.

`[A,B,C,D] = linmod('mdlref_f14');`

### Starting serial model reference simulation build ### Successfully updated the model reference simulation target for: mdlref_dynamics Build Summary Simulation targets built: Model Action Rebuild Reason ========================================================================================== mdlref_dynamics Code generated and compiled mdlref_dynamics_msf.mexa64 does not exist. 1 of 1 models built (0 models already up to date) Build duration: 0h 0m 30.653s

The resulting state-space model corresponds to the complete `mdlref_f14`

model, including the referenced model.

You can call `linmod`

with a state and input operating point for models that contain Model blocks. When using operating points, the state vector `x `

refers to the total state vector for the top model and any referenced models. You must enter the state vector using the structure format. To get the complete state vector, use `getInitialState`

.

`x = Simulink.BlockDiagram.getInitialState(`

`topModelName`

`)`

**Tip**

In Normal mode, the `linmod`

command applies the block-by-block linearization algorithm on blocks inside the referenced model. If the Model block is in Accelerator mode, the `linmod`

command uses numerical perturbation to linearize the referenced model. Due to limitations on linearizing multirate Model blocks in Accelerator mode, you should use Normal mode simulation for all models referenced by Model blocks when linearizing with referenced models.

### Linearization Using the 'v5' Algorithm

Calling the `linmod`

command with the
`'v5'`

argument invokes the perturbation algorithm created
prior to MATLAB^{®} software version 5.3. This algorithm also allows you to specify the
perturbation values used to perform the perturbation of all the states and inputs of
the
model.

[A,B,C,D]=linmod('sys',x,u,para,xpert,upert,'v5')

`linmod`

with the `'v5'`

option to linearize a
model that contains Derivative or Transport Delay blocks can be troublesome. Before
linearizing, replace these blocks with specially designed blocks that avoid the
problems. These blocks are in the Simulink Extras library in the Linearization sublibrary.You access the Extras library by opening the Blocksets & Toolboxes icon:

For the Derivative block, use the Switched derivative for linearization.

When using a Derivative block, you can also try to incorporate the derivative term in other blocks. For example, if you have a Derivative block in series with a Transfer Fcn block, it is better implemented (although this is not always possible) with a single Transfer Fcn block of the form

$$\frac{s}{s+a}.$$

In this example, the blocks on the left of this figure can be replaced by the block on the right.

## See Also

## Related Topics

- Exact Linearization Algorithm (Simulink Control Design)