# 1D Observer Form [A(v),B(v),C(v),F(v),H(v)]

Implement gain-scheduled state-space controller in observer form depending on one scheduling parameter

• Library:
• Aerospace Blockset / GNC / Control

• ## Description

The 1D Observer Form [A(v),B(v),C(v),F(v),H(v)] block implements a gain-scheduled state-space controller as defined in Algorithms.

The output from this block is the actuator demand, which you can input to an actuator block. Use this block to implement a controller designed using H-infinity loop-shaping, one of the design methods supported by Robust Control Toolbox.

## Limitations

If the scheduling parameter inputs to the block go out of range, they are clipped. The state-space matrices are not interpolated out of range.

## Ports

### Input

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Set-point error, specified as a vector, that conforms to the dimensions of the state-space matrices.

Data Types: `double`

Scheduling variable, specified as a vector, that conforms to the dimensions of the state-space matrices.

Data Types: `double`

Measured actuator position, specified as a vector.

Data Types: `double`

### Output

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Actuator demands, specified as a vector.

Data Types: `double`

## Parameters

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A-matrix of the state-space implementation. The A-matrix should have three dimensions, the last one corresponding to the scheduling variable v. For example, if the A-matrix corresponding to the first entry of v is the identity matrix, then ```A(:,:,1) = [1 0;0 1];```.

#### Programmatic Use

 Block Parameter: `A` Type: character vector Values: vector Default: `'A'`

B-matrix of the state-space implementation. The B-matrix should have three dimensions, the last one corresponding to the scheduling variable v. For example, if the B-matrix corresponding to the first entry of v is the identity matrix, then ```B(:,:,1) = [1 0;0 1];```.

#### Programmatic Use

 Block Parameter: `B` Type: character vector Values: vector Default: `'B'`

C-matrix of the state-space implementation. The C-matrix should have three dimensions, the last one corresponding to the scheduling variable v. Hence, for example, if the C-matrix corresponding to the first entry of v is the identity matrix, then ```C(:,:,1) = [1 0;0 1];```.

#### Programmatic Use

 Block Parameter: `C` Type: character vector Values: vector Default: `'C'`

State-feedback matrix. The F-matrix should have three dimensions, the last one corresponding to the scheduling variable v. Hence, for example, if the F-matrix corresponding to the first entry of v is the identity matrix, then ```F(:,:,1) = [1 0;0 1];```.

#### Programmatic Use

 Block Parameter: `F` Type: character vector Values: vector Default: `'F'`

Observer (output injection) matrix. The H-matrix should have three dimensions, the last one corresponding to the scheduling variable v. Hence, for example, if the H-matrix corresponding to the first entry of v is the identity matrix, then ```H(:,:,1) = [1 0;0 1];```.

#### Programmatic Use

 Block Parameter: `H` Type: character vector Values: vector Default: `'H'`

Breakpoints for the scheduling variable, specified as a vector. The length of v should be same as the size of the third dimension of A, B, C, F, and H.

#### Programmatic Use

 Block Parameter: `AoA_vec` Type: character vector Values: vector Default: `'v_vec'`

Initial states for the controller, i.e., initial values for the state vector, x, specified as a vector. It should have length equal to the size of the first dimension of A.

#### Programmatic Use

 Block Parameter: `x_initial` Type: character vector Values: vector Default: `'0'`

## Algorithms

The block implements a gain-scheduled state-space controller defined in the following observer form:

`$\begin{array}{l}\stackrel{˙}{x}=\left(A\left(v\right)+H\left(v\right)C\left(v\right)\right)x+B\left(v\right){u}_{meas}+H\left(v\right)\left(y-{y}_{dem}\right)\\ {u}_{dem}=F\left(v\right)x\end{array}$`

 Hyde, R. A., "H-infinity Aerospace Control Design — A VSTOL Flight Application," Springer Verlag, Advances in Industrial Control Series, 1995.

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