Resilient Distributed Optimization for Cyber-Physical Systems

Cyber-physical systems (CPS) refer to smart networked systems which integrate computing, control, sensing and networking that are engineered to sense and interact with the physical systems. Examples of CPS include smart grid, intelligent transportation system, smart manufacturing, and distributed robotic system. Optimization plays an important and critical role in maximizing efficiency, capability and ensuring safety operation of CPS. However, optimization of CPS poses the following fundamental research challenges:

• size, complexity and heterogeneity of the system which calls for a scalable optimization algorithm
• tight coupling between the physical system and the cyber (computing) layer 
• vulnerability to potential attacks as witnessed by the attack on the Ukraine power grid in 2015 causing a six-hour blackout and affecting hundreds of thousands of customers

This project aims at developing scalable control algorithms to ensure the safety and optimal operation of smart networked systems under potential physical and cyber attacks.

The results will be applied to real world engineering systems, namely power system and distributed robotic network.

Smart CPS interconnected via Internet of Things (IoT) drive innovation in a range of application domains including agriculture, aeronautics, building design, civil infrastructure, energy, healthcare, manufacturing, and transportation. The results of this project serve as a critical step in ensuring the safety and optimal operation of CPS interconnected via the IoT which is central in achieving the vision of Smart and Connected Communities and realizing the potential economic impact of CPS and IoT.

Academy of Finland