Model-Predictive Cyber-Physical Networking

PIs: Olaf Stursberg (Universität Kassel), Gerhard Wunder (FU Berlin)

Cyber-Physical Systems (CPS) integrate computation, networking, and physical processes: embedded computers and networks monitor and control the physical processes, and the physical processes vice versa affect the computations. Yet, while computation and physical processes are nowadays often melted into a virtual cyber-physical reality, development of controllers and communication networks is typically strictly separated. This project aims at creating a framework of model predictive cyber-physical networking, which extends principles and properties known in the control community under the term model predictive control (MPC) to CPS with explicit representation of the communication network. The ability of MPC to predict and incorporate planned future behavior (and corresponding deviations thereof) into the design of feedback controllers makes it a natural candidate for a unified framework, which includes the prediction of network effects and controls, communication, and the physical part of the CPS with similar means.

Involved Phd candidates

  • Richard Schöffauer