Generalized Type 2 Fuzzy Differential Evolution Applied to a Sugeno Controller

The papers using fuzzy logic have generated continuous improvements for applications, and an example of this is the use of generalized type 2 fuzzy systems in real-world problems. The key idea of this paper is to present a generalized type 2 fuzzy system for augmenting differential evolution with dynamic parameter variation in order to enhance its performance and convergence. A generalized type 2 Sugeno controller was implemented with the aim of enhancing the trajectory of a robot, and an analysis of the execution time and the errors obtained by ITAE, IAE, ITSE, ISEV, RMSE, and MSE is presented. In addition, a comparison with different levels of disturbance applied to the controller was performed with the goal of demonstrating the efficiency of a type 2 fuzzy system.

Automated summary

This paper proposes a generalized type 2 fuzzy system to enhance the performance and convergence of differential evolution. It implemented a generalized type 2 Sugeno controller to optimize the trajectory of a robot and conducted an analysis of execution time and errors. Furthermore, a comparison with different levels of disturbance demonstrated the efficiency of the type 2 fuzzy system.