Title : ( Adaptive fuzzy formation control for a class of uncertain nonlinear multi-agent systems )
Authors: Fahimeh Baghbani , Mohammad Reza Akbarzadeh Totonchi , Mohammad Bagher Naghibi Sistani ,
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Abstract
Here, an adaptive fuzzy control structure is proposed for the formation control problem of a class of uncertain affine nonlinear multi-agent systems. By introducing a position error and an appropriate artificial potential function, the formation control problem of the multi-agent system with fully unknown dynamics is solved. The agents should keep a desired distance from a time-varying reference as their virtual leader. The adaptive fuzzy controller for each agent includes terms of artificial potential function and H
Keywords
, component; formation control; multi, agent systems; fuzzy systems; artificial potential functions.
@inproceedings{paperid:1067528,
author = {Baghbani, Fahimeh and Akbarzadeh Totonchi, Mohammad Reza and Naghibi Sistani, Mohammad Bagher},
title = {Adaptive fuzzy formation control for a class of uncertain nonlinear multi-agent systems},
booktitle = {2017 5th International Conference on Control, Instrumentation, and Automation (ICCIA)},
year = {2017},
location = {شیراز, IRAN},
keywords = {component; formation control; multi-agent systems;
fuzzy systems; artificial potential functions.},
}
%0 Conference Proceedings
%T Adaptive fuzzy formation control for a class of uncertain nonlinear multi-agent systems
%A Baghbani, Fahimeh
%A Akbarzadeh Totonchi, Mohammad Reza
%A Naghibi Sistani, Mohammad Bagher
%J 2017 5th International Conference on Control, Instrumentation, and Automation (ICCIA)
%D 2017
