Scalable Harmonization of Complex Networks With Local Adaptive Controllers

0457337 - ÚTIA 2018 RIV US eng J - Článek v odborném periodiku
Kárný, Miroslav - Herzallah, R.
Scalable Harmonization of Complex Networks With Local Adaptive Controllers.
IEEE Transactions on Systems Man Cybernetics-Systems. Roč. 47, č. 3 (2017), s. 394-404. ISSN 2168-2216. E-ISSN 2168-2232
Grant CEP: GA ČR GA13-13502S
Institucionální podpora: RVO:67985556
Klíčová slova: Adaptive control * Adaptive estimation * Bayes methods * Complex networks * Decentralized control * Feedback * Feedforward systems * Recursive estimation
Obor OECD: Statistics and probability
Impakt faktor: 5.135, rok: 2017
http://library.utia.cas.cz/separaty/2016/AS/karny-0457337.pdf

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.
Trvalý link: http://hdl.handle.net/11104/0258400