Minimize the prediction error in external consensus problem using gain error ratio formula
This paper discusses the external consensus problem for non-identical networked multi-agent systems (NMAS) with network data loss, considering uniform consecutive data losses (CDL) induced by long periods of transmission failure. A gain error ratio (GER) formula is proposed to determine the appropri...
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ARQII Publication, Malaysian Simulation Society
2017
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Online Access: | http://eprints.utm.my/id/eprint/80730/1/NurulAdillaMohdSubha2017_MinimizethePredictionErrorinExternalConsensus.pdf http://eprints.utm.my/id/eprint/80730/ http://arqiipubl.com/ojs/index.php/AMS_Journal/article/download/4/4 |
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my.utm.807302019-06-27T06:20:49Z http://eprints.utm.my/id/eprint/80730/ Minimize the prediction error in external consensus problem using gain error ratio formula Mohd. Subha, Nurul Adilla Mohd. Basri, Mohd. Ariffanan Shamsudin, Mohamad Amir TK Electrical engineering. Electronics Nuclear engineering This paper discusses the external consensus problem for non-identical networked multi-agent systems (NMAS) with network data loss, considering uniform consecutive data losses (CDL) induced by long periods of transmission failure. A gain error ratio (GER) formula is proposed to determine the appropriate value of coupling gain between agents in order to minimize the computed prediction error caused by the prediction process. Consequently, the consensus performance with prediction control strategy can be improved. The effectiveness of the proposed formula is demonstrated through simulation. ARQII Publication, Malaysian Simulation Society 2017 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/80730/1/NurulAdillaMohdSubha2017_MinimizethePredictionErrorinExternalConsensus.pdf Mohd. Subha, Nurul Adilla and Mohd. Basri, Mohd. Ariffanan and Shamsudin, Mohamad Amir (2017) Minimize the prediction error in external consensus problem using gain error ratio formula. Applications of Modelling and Simulation, 1 (1). pp. 22-28. ISSN 2600-8084 http://arqiipubl.com/ojs/index.php/AMS_Journal/article/download/4/4 |
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TK Electrical engineering. Electronics Nuclear engineering Mohd. Subha, Nurul Adilla Mohd. Basri, Mohd. Ariffanan Shamsudin, Mohamad Amir Minimize the prediction error in external consensus problem using gain error ratio formula |
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This paper discusses the external consensus problem for non-identical networked multi-agent systems (NMAS) with network data loss, considering uniform consecutive data losses (CDL) induced by long periods of transmission failure. A gain error ratio (GER) formula is proposed to determine the appropriate value of coupling gain between agents in order to minimize the computed prediction error caused by the prediction process. Consequently, the consensus performance with prediction control strategy can be improved. The effectiveness of the proposed formula is demonstrated through simulation. |
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Article |
author |
Mohd. Subha, Nurul Adilla Mohd. Basri, Mohd. Ariffanan Shamsudin, Mohamad Amir |
author_facet |
Mohd. Subha, Nurul Adilla Mohd. Basri, Mohd. Ariffanan Shamsudin, Mohamad Amir |
author_sort |
Mohd. Subha, Nurul Adilla |
title |
Minimize the prediction error in external consensus problem using gain error ratio formula |
title_short |
Minimize the prediction error in external consensus problem using gain error ratio formula |
title_full |
Minimize the prediction error in external consensus problem using gain error ratio formula |
title_fullStr |
Minimize the prediction error in external consensus problem using gain error ratio formula |
title_full_unstemmed |
Minimize the prediction error in external consensus problem using gain error ratio formula |
title_sort |
minimize the prediction error in external consensus problem using gain error ratio formula |
publisher |
ARQII Publication, Malaysian Simulation Society |
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2017 |
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http://eprints.utm.my/id/eprint/80730/1/NurulAdillaMohdSubha2017_MinimizethePredictionErrorinExternalConsensus.pdf http://eprints.utm.my/id/eprint/80730/ http://arqiipubl.com/ojs/index.php/AMS_Journal/article/download/4/4 |
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13.211869 |