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Self-tuning proportional integral control for consensus in heterogeneous multi-agent systems

Published online by Cambridge University Press:  13 September 2016

D. A. BURBANO L. ,
P. DeLELLIS  and
M. diBERNARDO
D. A. BURBANO L.
Affiliation:
Department of Electrical Engineering and Information Technology, University of Naples Federico II, Naples, Italy email: danielalberto.burbanolombana@unina.it, pietro.delellis@unina.it
P. DeLELLIS
Affiliation:
Department of Electrical Engineering and Information Technology, University of Naples Federico II, Naples, Italy email: danielalberto.burbanolombana@unina.it, pietro.delellis@unina.it
M. diBERNARDO
Affiliation:
Department of Electrical Engineering and Information Technology, University of Naples Federico II, Naples, Italy email: danielalberto.burbanolombana@unina.it, pietro.delellis@unina.it Department of Engineering Mathematics, University of Bristol, Bristol, UK email: mario.dibernardo@unina.it
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Abstract

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In this paper, we present a distributed Proportional-Integral (PI) strategy with self-tuning adaptive gains for reaching asymptotic consensus in networks of non-identical linear agents under constant disturbances. Alternative adaptive strategies are presented, based on global or local measures of the agents' disagreement. The proposed approaches are validated on a representative numerical example. Preliminary analytical results further confirm the viability of the self-tuning strategies.

Keywords

91B69: Heterogeneous agent models05C82: Complex networks93C40: Adaptive control
Type
Papers
Information
European Journal of Applied Mathematics , Volume 27 , Special Issue 6: Network Analysis and Modelling , December 2016 , pp. 923 - 940
Copyright
Copyright © Cambridge University Press 2016 

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