Fast Consensus Via Predictive Pinning Control

By incorporating some predictive mechanism into a few pinning nodes, we show that convergence procedure to consensus can be substantially accelerated in networks of interconnected dynamic agents while physically maintaining the network topology. Such an acceleration stems from the compression mechan...

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Veröffentlicht in:	IEEE transactions on circuits and systems. I, Regular papers Jg. 58; H. 9; S. 2247 - 2258
Hauptverfasser:	Hai-Tao Zhang, Chen, Michael Z. Q., Stan, Guy-Bart
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.09.2011 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Acceleration Biology Circuits Compressing Consensus Convergence Dynamical systems Dynamics Eigenvalues and eigenfunctions multi-agent system (MAS) Networks Optimization Pinning pinning control predictive control Protocols Stems Synchronization
ISSN:	1549-8328, 1558-0806
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Abstract	By incorporating some predictive mechanism into a few pinning nodes, we show that convergence procedure to consensus can be substantially accelerated in networks of interconnected dynamic agents while physically maintaining the network topology. Such an acceleration stems from the compression mechanism of the eigenspectrum of the state matrix conferred by the predictive mechanism. This study provides a technical basis for the roles of some predictive mechanisms in widely-spread biological swarms, flocks, and consensus networks. From the engineering application point of view, inclusion of an efficient predictive mechanism allows for a significant increase in the convergence speed towards consensus.
AbstractList	By incorporating some predictive mechanism into a few pinning nodes, we show that convergence procedure to consensus can be substantially accelerated in networks of interconnected dynamic agents while physically maintaining the network topology. Such an acceleration stems from the compression mechanism of the eigenspectrum of the state matrix conferred by the predictive mechanism. This study provides a technical basis for the roles of some predictive mechanisms in widely-spread biological swarms, flocks, and consensus networks. From the engineering application point of view, inclusion of an efficient predictive mechanism allows for a significant increase in the convergence speed towards consensus.
Author	Hai-Tao Zhang Stan, Guy-Bart Chen, Michael Z. Q.
Author_xml	– sequence: 1 surname: Hai-Tao Zhang fullname: Hai-Tao Zhang organization: State Key Lab. of Digital Manuf. Equip. & Technol., Huazhong Univ. of Sci. & Technol., Wuhan, China – sequence: 2 givenname: Michael Z. Q. surname: Chen fullname: Chen, Michael Z. Q. organization: Dept. of Mech. Eng., Univ. of Hong Kong, Hong Kong, China – sequence: 3 givenname: Guy-Bart surname: Stan fullname: Stan, Guy-Bart email: g.stan@imperial.ac.uk organization: Dept. of Bioeng., Imperial Coll. London, Imperial, CA, USA
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SubjectTerms	Acceleration Biology Circuits Compressing Consensus Convergence Dynamical systems Dynamics Eigenvalues and eigenfunctions multi-agent system (MAS) Networks Optimization Pinning pinning control predictive control Protocols Stems Synchronization
Title	Fast Consensus Via Predictive Pinning Control
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