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Alumnus Serban Sabau wins NSF CAREER Award for network research

Alumnus Serban Sabau wins NSF CAREER Award for network research

Alumnus Serban Sabau (EE Ph.D. 2011) has received an NSF CAREER Award for “Novel Representations for Distributed Control of String Networks in Vehicle Platooning and Supply Chain Management.” The five-year, $500K award funds research to develop a novel mathematical description of dynamical networks capable of capturing simultaneously both the dynamics and the topology of a given network. Sabau is an assistant professor in the Department of Electrical and Computer Engineering at the Stevens Institute of Technology in Hoboken, N.J. At Maryland, Sabau was advised by Professor Nuno Martins (ECE/ISR).

About this research
A certain class of oscillatory behaviors, popularly known as the butterfly effect or the bullwhip effect are quite habitual to large scale networks of dynamical systems, such as electrical networks, supply chains or transportation networks. They are essentially tiny perturbations (or fluctuations) in the functional parameters occurring in one area of the network. They begin to amplify while propagating through the dynamics of the network and ultimately result in extremely large deviations from the operational parameters in other parts of the network. This undesired phenomenon is very common and difficult to avert in important practical applications.

The research will bring forth a novel mathematical description of dynamical networks capable of capturing simultaneously both the dynamics and the topology of a given network. Preliminary results for the case of a string of dynamical agents (vehicles platooning) showed that coupled with concepts and methods from classical control theory, this new mathematical description will be investigated for the development of practical methods for the design of distributed controllers.

For the case of networks with linear and time invariant dynamics, the distributed nature of the controller is cast as sparsity constraints on the controller left coprime factors, to be used in tandem with sparsity constraints imposed on the closed-loop maps. While delineating costs to specific nodes of the network, the constraints on the closed-loop map guarantee the tractability of the distributed, optimal controller design problem and characterize the manner in which disturbances propagate through the closed loop, thus eliminating the bullwhip effect. The goal is to investigate the needed adaptation of the concept of internal stability of the feedback loop, which becomes necessary in the current paradigm of the distributed implementation of controllers.

About the NSF CAREER Award
The NSF CAREER program fosters the career development of outstanding junior faculty, combining the support of research and education of the highest quality and in the broadest sense.

Related Articles:
Alum Serban Sabau joins Stevens Institute as assistant professor
Alumnus Radha Poovendran is PI for cybersecurity MURI grant
Alumnus Ravi Tandon receives NSF CAREER Award
Alumna Jing Yang begins tenure-track position at Penn State
Alum Ravi Tandon joins University of Arizona's ECE Department
New NSF-funded project targets secure and private function computation
Dachman-Soled Wins NSF Career Award
Alumna Jing Yang wins NSF CAREER Award
Alumna Namrata Vaswani wins Best Paper Award
Alum Radha Poovendran named IEEE Fellow; department chair

February 10, 2017


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