Fuzzy Logic Toolbox
Product Description
- Introduction and Key Features
- Working with the Fuzzy Logic Toolbox
- Building a Fuzzy Inference System
- Modeling Using Fuzzy Logic
- Simulating and Deploying Fuzzy Inference Systems
Simulating and Deploying Fuzzy Inference Systems
You can evaluate FIS performance by using the Fuzzy Logic Controller block in a Simulink model of your system. The Fuzzy Logic Controller block automatically generates a hierarchical block diagram representation for most fuzzy inference systems. This representation uses only built-in Simulink blocks, enabling efficient code generation (using Simulink Coder, available separately).
Fuzzy Logic Controller in Simulink 3:44
Integrate a fuzzy logic controller into a Simulink model.
You can also save your FIS in ASCII format for use outside the MATLAB environment. The toolbox supplies a fuzzy inference engine that can execute your fuzzy system as a stand-alone application or embedded in an external application.
