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Model-Predictive Cyber-Physical-Networking

CPN

CPN

Part of DFG Priority Program SPP 1914: Cyber-Physical-Networking (CPN) Phase I + Phase II (https://www.spp1914.de/home/)

Joint project with Prof. O. Stursberg (Control and System Theory, University of Kassel), until 2024

The research proposal Model-Predictive Cyber-Physical Networking 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 cyber-physical systems (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. Conversely, the approach in this proposal enables the network itself to generate planned or predicted trajectories based on criteria beyond simple throughput and interact in this way with the MPC controller which is a truly new approach. In addition, recent advances on communication protocols and on distributed and predictive control reveal surprising conceptual similarities in such intertwined design approach. By unifying models, design principles, system properties, and performance measures from the domains of communication and control theory into one consistent framework, this project targets the core of the research priority program SPP 1914.

Publications

R. Schöffauer, G. Wunder, Age-of-information in clocked networks, https://arxiv.org/pdf/2207.05516, 2023, submitted

R. Schöffauer, G. Wunder, Age-of-Information in Networks with Periodic Workflow, IEEE International Conference on Advanced Communication Technologies and Networking (IEEE CommNet'23), 2022

R. Schöffauer, G. Wunder, An Algorithm for Exact Numerical Age-of-Information Evaluation in Multi-Agent Systems, IEEE International Conference on Communications (ICC'22), 817-822, 2022

R. Schöffauer, G. Wunder, Model-predictive control for discrete-time queueing networks with varying topology, IEEE Transactions on Control of Network Systems 8 (3), 1528-1539, 2021

J. Hahn, R. Schöffauer, G. Wunder, O. Stursberg, Using AoI forecasts in communicating and robust distributed model-predictive control, IEEE Transactions on Control of Network Systems 9 (2), 742-752, 2021

D. Guzman, R. Schöffauer, G. Wunder, Predictive network control in multi-connectivity mobility for URLLC services, IEEE International Workshop on Computer Aided Modeling and Design (CAMAD'21), 2019

R. Schoeffauer and G. Wunder, Stability Results on Synchronized Queues in Discrete-Time for Arbitrary Dimension, Queuing Systems, https://arxiv.org/abs/2006.14277, June 2020

R. Schöffauer, G. Wunder, Predictive network control and throughput sub-optimality of max weight, IEEE European Conference on Networks and Communications (EuCNC'18), 1-6, 2018

S. Gallenmüller, S. Günther, M Leclaire, S. Zoppi, F. Molinari, R. Schöffauer, Benchmarking networked control systems
IEEE Workshop on Benchmarking Cyber-Physical Networks and Systems, 2018

R. Schöffauer, G. Wunder, A linear algorithm for reliable predictive network control, IEEE Global Communications Conference Workshops, 1-6, 2018

J. Hahn, R. Schöffauer, G. Wunder, O. Stursberg, Distributed MPC with prediction of time-varying communication delay
International Federation of Automatic Control 51 (23), 224-229, 2018

M. Kasparick, G. Wunder, Stable Wireless Network Control Under Service Constraints, IEEE Transactions on Control of Network Systems, vol.5, no. 3, pp. 946-956, Sept. 2018

C. Zhou and G. Wunder, A Fundamental Characterization of Stability in Broadcast Queueing Systems, https://arxiv.org/abs/0904.2302, April 2009