Distributed Control and Optimization of Cyber-Physical Systems
Tampere University
Cyber-physical system consists of a collection of computing devices communicating with one another and interacting with the physical world via sensors and actuators in a feedback loop. Examples of cyber-physical system include smart grid, intelligent transportation system, robotic network, and industry 4.0.
This course will discuss research challenges related to control and optimization of cyber-physical/networked system and their solutions. Specifically, this course will focus on the design of control and optimization algorithms for cyber-physical system which are scalable/distributed, safe and resilient to deal with the novel challenges introduced by the integration of cyber component into the physical system. The control & optimization algorithms will then be applied to solve control problems in distributed robotic, smart mobility and smart grid.
Specifically, the content of the course are as follows:
- analysis and design of cooperative control (consensus) algorithms for networked systems
- analysis and design of distributed optimisation algorithms (unconstrained and constrained cases) for networked systems
- Issues related to communication network for facilitating cooperative control and distributed optimisation: to whom should one talk (network topology optimisation), how to cooperate in presence of adversary (resilient control), and how to ensure safety.
- applications to smart grid, robotic network, smart mobility
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