In this paper, we present an adaptive estimation framework predicated on multiagent network identifiers with undirected and directed graph topologies. Specifically, the system state and plant parameters are identified online using N agents implementing adaptive observers with an interagent communication architecture. The adaptive observer architecture includes an additive term which involves a penalty on the mismatch between the state and parameter estimates. The proposed architecture is shown to guarantee state and parameter estimate consensus. Furthermore, the proposed adaptive identifier architecture provides a measure of agreement of the state and parameter estimates that is independent of the network topology and guarantees that the deviation from the mean estimate for both the state and parameter estimates converge to zero. Finally, an illustrative numerical example is provided to demonstrate the efficacy of the proposed approach.
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March 2014
Research-Article
Adaptive Estimation Using Multiagent Network Identifiers With Undirected and Directed Graph Topologies
Teymur Sadikhov,
Teymur Sadikhov
School of Aerospace Engineering,
e-mail: tsadikhov@gatech.edu
Georgia Institute of Technology
,Atlanta, GA 30332
e-mail: tsadikhov@gatech.edu
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Michael A. Demetriou,
Michael A. Demetriou
Professor
Department of Mechanical Engineering,
e-mail: mdemetri@wpi.edu
Department of Mechanical Engineering,
Worcester Polytechnic Institute
,Worcester, MA 01609
e-mail: mdemetri@wpi.edu
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Wassim M. Haddad,
Wassim M. Haddad
1
Professor
School of Aerospace Engineering,
e-mail: wm.haddad@aerospace.gatech.edu
School of Aerospace Engineering,
Georgia Institute of Technology
,Atlanta, GA 30332
e-mail: wm.haddad@aerospace.gatech.edu
1Corresponding author.
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Tansel Yucelen
Tansel Yucelen
Assistant Professor
Mechanical and Aerospace Engineering,
e-mail: yucelent@mst.edu
Mechanical and Aerospace Engineering,
Missouri University of Science and Technology
,Rolla, MO 65409
e-mail: yucelent@mst.edu
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Teymur Sadikhov
School of Aerospace Engineering,
e-mail: tsadikhov@gatech.edu
Georgia Institute of Technology
,Atlanta, GA 30332
e-mail: tsadikhov@gatech.edu
Michael A. Demetriou
Professor
Department of Mechanical Engineering,
e-mail: mdemetri@wpi.edu
Department of Mechanical Engineering,
Worcester Polytechnic Institute
,Worcester, MA 01609
e-mail: mdemetri@wpi.edu
Wassim M. Haddad
Professor
School of Aerospace Engineering,
e-mail: wm.haddad@aerospace.gatech.edu
School of Aerospace Engineering,
Georgia Institute of Technology
,Atlanta, GA 30332
e-mail: wm.haddad@aerospace.gatech.edu
Tansel Yucelen
Assistant Professor
Mechanical and Aerospace Engineering,
e-mail: yucelent@mst.edu
Mechanical and Aerospace Engineering,
Missouri University of Science and Technology
,Rolla, MO 65409
e-mail: yucelent@mst.edu
1Corresponding author.
Contributed by the Dynamic Systems Division of ASME for publication in the JOURNAL OF DYNAMIC SYSTEMS, MEASUREMENT, AND CONTROL. Manuscript received May 16, 2013; final manuscript received October 21, 2013; published online December 16, 2013. Assoc. Editor: Sergey Nersesov.
J. Dyn. Sys., Meas., Control. Mar 2014, 136(2): 021018 (9 pages)
Published Online: December 16, 2013
Article history
Received:
May 16, 2013
Revision Received:
October 21, 2013
Citation
Sadikhov, T., Demetriou, M. A., Haddad, W. M., and Yucelen, T. (December 16, 2013). "Adaptive Estimation Using Multiagent Network Identifiers With Undirected and Directed Graph Topologies." ASME. J. Dyn. Sys., Meas., Control. March 2014; 136(2): 021018. https://doi.org/10.1115/1.4025802
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