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Georgios Lymperopoulos

Researcher at University of Southern California

Publications -  13
Citations -  118

Georgios Lymperopoulos is an academic researcher from University of Southern California. The author has contributed to research in topics: Adaptive control & HVAC. The author has an hindex of 4, co-authored 12 publications receiving 64 citations. Previous affiliations of Georgios Lymperopoulos include National and Kapodistrian University of Athens.

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Journal ArticleDOI

Building temperature regulation in a multi-zone HVAC system using distributed adaptive control

TL;DR: This paper considers buildings with several climate zones and proposes a distributed adaptive control scheme for a multi-zone HVAC system which can effectively regulate zone temperature by applying on-line learning and assuming exchange of information between neighboring zones.
Proceedings ArticleDOI

Adaptive control of Networked Distributed Systems with unknown interconnections

TL;DR: This paper proposed local robust adaptive control schemes whose objective is to stabilize the local subsystems, weaken the interconnections and guarantee global stability for the NDCS despite the communication delays.
Book ChapterDOI

Application of Theranostics in Oncology

TL;DR: The objective of this paper is to study the use and application of Theranostics in the diagnosis and treatment of cancer, in order to achieve personalized anticancer treatment.
Book ChapterDOI

Applications for Electrical Impedance Tomography (EIT) and Electrical Properties of the Human Body.

TL;DR: Electrical Impedance Tomography is a promising method for the development of noninvasive diagnostic medicine, since it is able to provide imaging of the interior of the human body in real time without causing harm or putting thehuman body in risk.
Journal ArticleDOI

Model Reference Adaptive Control for Networked Distributed Systems with Strong Interconnections and Communication Delays

TL;DR: A distributed adaptive control scheme is proposed and it is proved that the proposed scheme guarantees that the tracking error of each agent is bounded with a bound that depends on the size of the weakened interconnections and delays, and reduces to zero as these uncertainties reduce to zero.