Department of Electrical Engineering and Automation

Distributed and Networked Control Systems

We are now witnessing an explosion in networked systems: everything is connected and massive amounts of devices are required to be coordinated.
Aalto-yliopisto, liput / kuvaaja: Aino Huovio

Scientific breakthroughs enable new technology whereas at the same time, technology makes it into transformative applications (see, for example, the Internet and wireless communication systems). It is evident that the advancement of smart devices with impressive sensing, computing and control capabilities makes it possible for our cities, transportation systems, factories and living environments to become more intelligent, energy-efficient, safe and secure.  We are now witnessing an explosion in networked systems: everything is connected and massive amounts of devices are required to be coordinated. However, the overall system is distributed and a service should be delivered cooperatively, rather than by a unique provider that knows and owns all data. Many researchers and practitioners are interested in understanding the complexity and possible solution approaches, since distributed systems apply to different areas and applications and are anticipated to play a central role in the near future. 

In applications that can be characterized as distributed systems, dynamical systems are controlled or communicate and interact with other dynamical systems via a network of sensors and actuators transmitting and receiving information over a digital communication network. Real communication channels suffer from various problems (such as limited capacity, bit errors, erasures and random delays) that can affect the stability and/or performance of the whole system. Given the multidisciplinary nature of distributed systems, many studies are necessarily restricted to contributions that solve problems partially, ignoring important aspects of such systems due to modular approaches to the problem. In order to be able to deal with distributed systems, we need to better understand information, and the interplay between information and decisions. However, communication and control/decision making have traditionally been treated separately whereas recent emerging applications necessitate a more holistic approach, since communication and control are no longer independent. 

The main objective of this line or research is to develop the framework on how to treat the interplay between communications and control to solve distributed control and optimization problems arising in distributed systems and in Cyber-Physical Systems (CPS), in general. 

The group is led by Professor Themistoklis Charalambous

Latest publications

Consensus of General Linear Multi-Agent Systems with Heterogeneous Input and Communication Delays

Wei Jiang, Yiyang Chen, Themistoklis Charalambous 2021 IEEE Control Systems Letters

Centralized and Distributed Multi-Region Traffic Flow Control

Omar Boufous, Claudio Roncoli, Themistoklis Charalambous 2020 European Control Conference 2020, ECC 2020

Structural Properties of Nonanticipatory Epsilon Entropy of Multivariate Gaussian Sources

Charalambos D. Charalambous, Themistoklis Charalambous, Christos Kourtellaris, Jan H. Van Schuppen 2020 Proceedings of the IEEE International Symposium on Information Theory, ISIT 2020

Power Allocation for ARQ Two-Hop Cooperative Networks for Ultra-Reliable Communication

Endrit Dosti, Themistoklis Charalambous, Risto Wichman 2020 Proceedings of the 2020 IEEE International Conference on Communications, ICC 2020

Power Allocation of Sensor Transmission for Remote Estimation Over an Unknown Gilbert-Elliott Channel

Tahmoores Farjam, Fatemeh Fardno, Themistoklis Charalambous 2020 European Control Conference 2020, ECC 2020

Towards Robust Onboard Control for Quadrotors via Ultra-Wideband-based Localization

Evagoras Makridis, Themistoklis Charalambous 2020 Proceedings of the 16th IEEE International Wireless Communications and Mobile Computing, IWCMC 2020

Bandit-based relay selection in cooperative networks over unknown stationary channels

Nikolaos Nomikos, Sadegh Talebi, Risto Wichman, Themistoklis Charalambous 2020 Proceedings of the 2020 IEEE 30th International Workshop on Machine Learning for Signal Processing, MLSP 2020

Integrating Broadcasting and NOMA in Full-Duplex Buffer-Aided Opportunistic Relay Networks

Nikolaos Nomikos, Themistoklis Charalambous, Demosthenes Vouyioukas, Risto Wichman, George K. Karagiannidis 2020 IEEE Transactions on Vehicular Technology

Generalizations of Nonanticipative Rate Distortion Function to Multivariate Nonstationary Gaussian Autoregressive Processes

Charalambos D. Charalambous, Christos Kourtellaris, Themistoklis Charalambous, Jan H. Van Schuppen 2019 Proceedings of the 58th IEEE Conference on Decision and Control, CDC 2019
More information on our research in the Research database.
Research database
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