Universiti Teknologi Malaysia Institutional Repository

External consensus in multi-agent systems with large consecutive data loss under unreliable networks

Subha, N. A. M. and Liu, G. P. (2016) External consensus in multi-agent systems with large consecutive data loss under unreliable networks. IET Control Theory and Applications, 10 (9). pp. 989-1000. ISSN 1751-8644

Full text not available from this repository.

Official URL: https://www.scopus.com/inward/record.uri?eid=2-s2....

Abstract

This study discusses the external consensus problem for non-identical networked multi-agent systems with network data loss, considering both uniform and random consecutive data losses induced by long periods of transmission failure. A novel approach using a combination of prediction strategy and constant control gain based on gain error ratio (GER) is proposed for solving the problem. The main contribution of this study is a simple and practical way of selecting control gain using GER to help overcome prediction inaccuracies caused by the prediction process during a long period of consecutive data loss. The feasibility and performance of the proposed consensus protocol is demonstrated through simulation and practical experiment.

Item Type:Article
Uncontrolled Keywords:Forecasting, Consensus problems, Consensus protocols, Constant control gain, Networked multi-agent systems, Non-identical, Prediction process, Transmission failures, Unreliable network, Multi agent systems
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:Electrical Engineering
ID Code:71157
Deposited By: Narimah Nawil
Deposited On:15 Nov 2017 01:28
Last Modified:15 Nov 2017 01:28

Repository Staff Only: item control page