External consensus in multi-agent systems with large consecutive data loss under unreliable networks
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 con...
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Institution of Engineering and Technology
2016
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Online Access: | http://eprints.utm.my/id/eprint/71157/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-84969749462&doi=10.1049%2fiet-cta.2015.0616&partnerID=40&md5=8eb783f35cc9005a7ceb7a2c251515b1 |
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my.utm.711572017-11-15T01:28:07Z http://eprints.utm.my/id/eprint/71157/ External consensus in multi-agent systems with large consecutive data loss under unreliable networks Subha, N. A. M. Liu, G. P. TK Electrical engineering. Electronics Nuclear engineering 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. Institution of Engineering and Technology 2016 Article PeerReviewed 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 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84969749462&doi=10.1049%2fiet-cta.2015.0616&partnerID=40&md5=8eb783f35cc9005a7ceb7a2c251515b1 |
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TK Electrical engineering. Electronics Nuclear engineering Subha, N. A. M. Liu, G. P. External consensus in multi-agent systems with large consecutive data loss under unreliable networks |
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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. |
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Article |
author |
Subha, N. A. M. Liu, G. P. |
author_facet |
Subha, N. A. M. Liu, G. P. |
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Subha, N. A. M. |
title |
External consensus in multi-agent systems with large consecutive data loss under unreliable networks |
title_short |
External consensus in multi-agent systems with large consecutive data loss under unreliable networks |
title_full |
External consensus in multi-agent systems with large consecutive data loss under unreliable networks |
title_fullStr |
External consensus in multi-agent systems with large consecutive data loss under unreliable networks |
title_full_unstemmed |
External consensus in multi-agent systems with large consecutive data loss under unreliable networks |
title_sort |
external consensus in multi-agent systems with large consecutive data loss under unreliable networks |
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Institution of Engineering and Technology |
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2016 |
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http://eprints.utm.my/id/eprint/71157/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-84969749462&doi=10.1049%2fiet-cta.2015.0616&partnerID=40&md5=8eb783f35cc9005a7ceb7a2c251515b1 |
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1643656120898682880 |
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13.211869 |