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Computational Intelligence and Neuroscience
Volume 2015, Article ID 236285, 19 pages
http://dx.doi.org/10.1155/2015/236285
Research Article

Stabilization Methods for a Multiagent System with Complex Behaviours

Department of Computer Science and Engineering, “Gheorghe Asachi” Technical University of Iaşi, D. Mangeron 27 Street, 700050 Iaşi, Romania

Received 29 November 2014; Accepted 27 April 2015

Academic Editor: Reinoud Maex

Copyright © 2015 Florin Leon. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

The main focus of the paper is the stability analysis of a class of multiagent systems based on an interaction protocol which can generate different types of overall behaviours, from asymptotically stable to chaotic. We present several interpretations of stability and suggest two methods to assess the stability of the system, based on the internal models of the agents and on the external, observed behaviour. Since it is very difficult to predict a priori whether a system will be stable or unstable, we propose three heuristic methods that can be used to stabilize such a system during its execution, with minimal changes to its state.