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Scalable Harmonization of Complex Networks With Local Adaptive Controllers
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SYSNO ASEP 0457337 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Článek ve WOS Title Scalable Harmonization of Complex Networks With Local Adaptive Controllers Author(s) Kárný, Miroslav (UTIA-B) RID, ORCID
Herzallah, R. (GB)Number of authors 2 Source Title IEEE Transactions on Systems Man Cybernetics-Systems . - : Institute of Electrical and Electronics Engineers - ISSN 2168-2216
Roč. 47, č. 3 (2017), s. 394-404Number of pages 11 s. Publication form Print - P Language eng - English Country US - United States Keywords Adaptive control ; Adaptive estimation ; Bayes methods ; Complex networks ; Decentralized control ; Feedback ; Feedforward systems ; Recursive estimation Subject RIV BB - Applied Statistics, Operational Research OECD category Statistics and probability R&D Projects GA13-13502S GA ČR - Czech Science Foundation (CSF) Institutional support UTIA-B - RVO:67985556 UT WOS 000396232000002 EID SCOPUS 85014589668 DOI 10.1109/TSMC.2015.2502427 Annotation Computational and communication complexities call for distributed, robust, and adaptive control. This paper proposes a promising way of bottom-up design of distributed control in which simple controllers are responsible for individual nodes. The overall behavior of the network can be achieved by interconnecting such controlled loops in cascade control for example and by enabling the individual nodes to share information about data with their neighbors without aiming at unattainable global solution. The problem is addressed by employing a fully probabilistic design, which can cope with inherent uncertainties, that can be implemented adaptively and which provide a systematic rich way to information sharing. This paper elaborates the overall solution, applies it to linear-Gaussian case, and provides simulation results. Workplace Institute of Information Theory and Automation Contact Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201. Year of Publishing 2018
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