Customizing the Design of Hierarchical Fuzzy Logic Systems for Multi-Robot Control: Theory and Practice

Mohammadian, M. (Speaker)

Activity: Talk or presentationInvited talk

Description

Hierarchical fuzzy logic systems are increasingly used in modelling and control
applications. Their ability to cope with uncertainty inherent in complex systems
makes them an attractive method for solving complex, uncertain, and dynamic
systems. Hierarchical fuzzy logic systems are developed based on the individualistic systems. Such systems are unable to face the challenge of interaction that might be necessary between different fuzzy logic systems in hierarchical fuzzy logic systems for solving complex problems. This talk will investigate and report current and intelligent design and development of hierarchical fuzzy logic systems in multi-robot control and navigation. Several structured approaches to design and development of hierarchical fuzzy logic systems are explained. Design and development of hierarchical fuzzy logic systems and determination of the number of layers in a hierarchical fuzzy logic system are considered. The advantages and disadvantages of using hierarchical fuzzy logic systems for robotic control are also considered. The use of evolutionary algorithms in design and development of hierarchical fuzzy logic
systems are discussed. The application of evolutionary learning to control of a
simulated multi-robot system using hierarchical fuzzy logic systems are considered and simulation results are presented.
Period30 Nov 2019
Event title5th International Symposium on Innovation in Information and Communication Technology
Event typeConference
LocationAmman, Jordan
Degree of RecognitionInternational