Journal article

Semi-Autonomous Consensus: Network Measures and Adaptive Trees

Airlie Chapman, Mehran Mesbahi

IEEE TRANSACTIONS ON AUTOMATIC CONTROL | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | Published : 2013

Abstract

Examining the effectiveness of control in networked systems is a thriving research area. Autonomous systems that can be intermittently influenced (controlled) by external agents find applications ranging from machine calibration to satellite control. We refer to this class of networks as semi-autonomous. If the semi-autonomous agents' interaction dynamics are consensus-based, we dub this subclass as semi-autonomous consensus, which is the focus of the paper. Within such a subclass, we consider the dynamics of networked agents in the context of performance (friendly influence) and security (unfriendly influence). Our approach to appraise a semi-autonomous consensus network is to expose the ne..

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University of Melbourne Researchers

Grants

Awarded by AFOSR


Awarded by National Science Foundation (NSF)


Awarded by Div Of Civil, Mechanical, & Manufact Inn


Funding Acknowledgements

Manuscript received October 12, 2010; revised June 27, 2011; accepted January 30, 2012. Date of publication June 20, 2012; date of current version December 17, 2012. A preliminary version of this work, dealing with the adaptive protocols for trees, was presented at the 49th IEEE Conference on Decision and Control, Atlanta, GA, 2010. This work was supported by AFOSR grant FA9550-09-1-0091 and National Science Foundation (NSF) grant CMMI-0856737. Recommended by Associate Editor J. Cortes.