MATLAB Fuzzy Logic Toolbox™ User's Guide
The MathWorks, Inc.
Fuzzy Logic Toolbox provides MATLAB®functions, apps, and a Simulink®block for analyzing, designing, and simulating systems based on fuzzy logic. The product guides you through the steps of designing fuzzy inference systems. Functions are provided for many common methods, including fuzzy clustering and adaptive neurofuzzy learning.
The toolbox lets you model complex system behaviors using simple logic rules, and then implement these rules in a fuzzy inference system. You can use it as a stand-alone fuzzy inference engine.
Alternatively, you can use fuzzy inference blocks in Simulink and simulate the fuzzy systems within a comprehensive model of the entire dynamic system.
Key Features:
• Fuzzy Logic Design app for building fuzzy inference systems and viewing and analyzing results
• Membership functions for creating fuzzy inference systems
• Support for AND, OR, and NOT logic in user-defined rules
• Standard Mamdani and Sugeno-type fuzzy inference systems
• Automated membership function shaping through neuroadaptive and fuzzy clustering learning
techniques
• Ability to embed a fuzzy inference system in a Simulink model
• Ability to generate embeddable C code or stand-alone executable fuzzy inference engines
The toolbox lets you model complex system behaviors using simple logic rules, and then implement these rules in a fuzzy inference system. You can use it as a stand-alone fuzzy inference engine.
Alternatively, you can use fuzzy inference blocks in Simulink and simulate the fuzzy systems within a comprehensive model of the entire dynamic system.
Key Features:
• Fuzzy Logic Design app for building fuzzy inference systems and viewing and analyzing results
• Membership functions for creating fuzzy inference systems
• Support for AND, OR, and NOT logic in user-defined rules
• Standard Mamdani and Sugeno-type fuzzy inference systems
• Automated membership function shaping through neuroadaptive and fuzzy clustering learning
techniques
• Ability to embed a fuzzy inference system in a Simulink model
• Ability to generate embeddable C code or stand-alone executable fuzzy inference engines
Categorie:
Anno:
2020
Edizione:
R2020a
Casa editrice:
The MathWorks, Inc.
Lingua:
english
Pagine:
782
File:
PDF, 8.58 MB
IPFS:
,
english, 2020
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