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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Bibliographic Details
Main Authors: Mohd. Subha, Nurul Adilla (Author), Mohd. Basri, Mohd. Ariffanan (Author), Shamsudin, Mohamad Amir (Author)
Format: Article
Language:English
Published: ARQII Publication, Malaysian Simulation Society, 2017.
Subjects:
Online Access:Get fulltext
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001 80730
042 |a dc 
100 1 0 |a Mohd. Subha, Nurul Adilla  |e author 
700 1 0 |a Mohd. Basri, Mohd. Ariffanan  |e author 
700 1 0 |a Shamsudin, Mohamad Amir  |e author 
245 0 0 |a Minimize the prediction error in external consensus problem using gain error ratio formula 
260 |b ARQII Publication, Malaysian Simulation Society,   |c 2017. 
856 |z Get fulltext  |u http://eprints.utm.my/id/eprint/80730/1/NurulAdillaMohdSubha2017_MinimizethePredictionErrorinExternalConsensus.pdf 
520 |a 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. 
546 |a en 
650 0 4 |a TK Electrical engineering. Electronics Nuclear engineering