Fuzzy Logic Controller with Ruleviewer

Evaluate fuzzy inference system and view rules

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Libraries:
Fuzzy Logic Toolbox

Description

The Fuzzy Logic Controller with Ruleviewer block implements a fuzzy inference system (FIS) in Simulink^® and displays the fuzzy inference process in the Rule Viewer during the simulation. You specify the FIS to evaluate using the FIS matrix parameter. To change the time between Rule Viewer updates, specify the Refresh rate in seconds.

For more information on fuzzy inference, see Fuzzy Inference Process.

The Fuzzy Logic Controller with Ruleviewer block does not support all the features supported by the Fuzzy Logic Controller block. The Fuzzy Logic Controller with Ruleviewer block:

• Only supports double-precision data.

• Uses 101 points for discretizing output variable ranges.

• Only supports Interpreted execution simulation mode.

• Does not have additional output ports for accessing intermediate fuzzy inference results.

Examples

Simulate Fuzzy Inference System

Once you have implemented a fuzzy inference system using Fuzzy Logic Designer, using Neuro-Fuzzy Designer, or at the command line, you can simulate the system in Simulink.

• Open Script

Ports

Input

Port_1(In1) — Input signal

scalar | vector

For a single-input fuzzy inference system, the input is a scalar. For a multi-input fuzzy system, combine the inputs into a vector signal using blocks such as:

• Mux (Simulink)

• Vector Concatenate (Simulink)

• Bus Creator (Simulink)

Output

Port_1(Out1) — Defuzzified output signal

scalar | vector

For a single-output fuzzy inference system, the output is a scalar. For a multi-output fuzzy system, the output is a vector. To split system outputs into scalar signals, use the Demux (Simulink) block.

Parameters

FIS structure — Fuzzy inference system

mamfisobject | sugfisobject

Fuzzy inference system to evaluate, specified as a mamfis or sugfis object. Specify the name of a FIS object in the MATLAB^® workspace.

Programmatic Use

To set the block parameter value programmatically, use the set_param (Simulink) function.

Parameter:	fismatrix
Values:	"fis" (default) | variable name in quotes

Refresh rate — Time between rule viewer updates

positive scalar

Time between rule viewer updates in seconds, specified as a positive scalar. During simulation, the Rule Viewer display updates at the specified rate to show the inference process for the latest input signal values.

Programmatic Use

To set the block parameter value programmatically, use the set_param (Simulink) function.

Parameter:	Ts
Values:	"2" (default) | positive scalar in quotes

Extended Capabilities

C/C++ Code Generation

Generate C and C++ code using Simulink® Coder™.

Usage notes and limitations:

• Generating code using the Fuzzy Logic Controller with Ruleviewer block produces the same code as using the Fuzzy Logic Controller block. However, the Fuzzy Logic Controller with Ruleviewer block does not support:

  • Generating code for single-point or fixed-point data.

  • Changing the number of samples for discretizing the output variable range.

Version History

Introduced before R2006a

R2024b: Fuzzy inference system structures not supported

This block no longer supports fuzzy inference system structures. Use mamfis and sugfis objects instead. To convert existing fuzzy inference system structures to objects, use the convertfis function.

R2019b: Fuzzy inference system structures will not be supported

Support for fuzzy inference systems structures will be removed in a future release. This change was announced in R2018b. Using fuzzy inference system structures with this block issues a warning starting in R2019b.