A Novel Evolving Type-2 Fuzzy System for Controlling a Mobile Robot under Large Uncertainties

A Novel Evolving Type-2 Fuzzy System for Controlling a Mobile Robot under Large Uncertainties

This paper presents the development of a type-2 evolving fuzzy control system (T2-EFCS) to facilitate self-learning (either from scratch or from a certain predefined rule). Our system has two major learning stages, namely, structure learning and parameters learning. The structure phase does not requ...

Full description

Bibliographic Details
Main Authors: Ayad Al-Mahturi, Fendy Santoso, Matthew A. Garratt, Sreenatha G. Anavatti
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Robotics
Subjects:
evolving type-2 fuzzy systems
robotic control
uncertainties
Lyapunov stability
Online Access:https://www.mdpi.com/2218-6581/12/2/40

Internet

https://www.mdpi.com/2218-6581/12/2/40

Similar Items