Introduction to Fuzzy Logic with MATLAB and Simulink

Overview

In this webinar you will learn the benefits of using fuzzy logic, its application areas, and, how to design fuzzy inference systems using Fuzzy Logic Toolbox.

This webinar will cover the newer capabilities of Fuzzy Logic Toolbox, such as redesigned Fuzzy Logic Designer app and support for type-2 fuzzy systems. You will see how to use the Fuzzy Logic Designer app to design a fuzzy inference system, and then integrate the designed fuzzy system into Simulink for system-level simulation and code generation.  

You will additionally learn how to use fuzzy logic as one of the techniques to explain the behavior of AI-based black-box models using its explainable rule base.

Highlights

• Introducing fuzzy logic and its application areas
• Designing, analyzing, and evaluating fuzzy inference systems  using the Fuzzy Logic Designer app
• Integrating the designed fuzzy system into MATLAB and Simulink for system-level simulation and code generation
• Using fuzzy logic to explain the behavior of AI-based black-box models

About the Presenter

Kishen Mahadevan is a Product Manager for Fuzzy Logic Toolbox, System Identification Toolbox, and Simulink Design Optimization at MathWorks. Kishen has an M.S. in Electrical Engineering with specialization in Control Systems from Arizona State University, and a B.E. in Electrical and Electronics Engineering from Visvesvaraya Technological University in India. He joined MathWorks in 2018 as an Application Support Engineer helping customers resolve issues related to Simulink products before moving into product marketing.