Cyber-Physical Systems

Cyber-physical systems (CPS) refer to a new generation of networked embedded systems that bring together sensing, computation, communication, control and actuation in order to sustain a continuous interaction with the physical world (e.g., processes taking place on electrical power grids, transportation and traffic roads, communication and financial networks, medical devices, smart buildings, etc.). Physical processes are predominantly non-stationary in nature and require time-dependent models for understanding their behavior. Our research focuses on accurate modeling physical processes to better understand the theoretical foundations of CPS design and optimization.

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Selected Publications

Bogdan, Paul; Marculescu, Radu

From Physical Processes to Theoretical Foundations of Cyber-Physical Systems Design and Optimization (Journal Article)

Principles of Cyber-Physical Systems: An Interdisciplinary Approach, pp. 3, 2020.

(Links | BibTeX)

Wei, Guopeng; Bogdan, Paul; Marculescu, Radu

Modeling, Analysis and Design of Bio-hybrid Micro-robotic Swarms for Medical Applications (Incollection)

Modeling, Methodologies and Tools for Molecular and Nano-scale Communications, pp. 517–539, Springer, Cham, 2017.

(Links | BibTeX)

Bogdan, Paul; Jain, Siddharth; Marculescu, Radu

Pacemaker control of heart rate variability: A cyber physical system perspective (Journal Article)

ACM Transactions on Embedded Computing Systems (TECS), 12 (1s), pp. 1–22, 2013.

(Links | BibTeX)

Marculescu, Radu

Design of future integrated systems: A cyber-physical systems approach. (Inproceedings)

PATMOS, pp. 1, 2013.

(Links | BibTeX)

Bogdan, Paul; Jain, Siddharth; Goyal, Kartikeya; Marculescu, Radu

Implantable pacemakers control and optimization via fractional calculus approaches: A cyber-physical systems perspective (Inproceedings)

2012 IEEE/ACM Third International Conference on Cyber-Physical Systems, pp. 23–32, IEEE 2012.

(Links | BibTeX)

Bogdan, Paul; Marculescu, Radu

Cyberphysical Systems: Workload Modeling and Design Optimization (Journal Article)

IEEE Design and Test of Computers, 28 (4), pp. 78, 2011.

(Links | BibTeX)