An assisting Model Predictive Controller approach to Control over the Cloud
Per Skarin, Johan Eker, Maria Kihl, Karl-Erik {\AA}rz\'en

TL;DR
This paper proposes a cloud-based Model Predictive Control strategy with computational offloading and graceful degradation, enhancing control performance of cyber-physical systems while minimizing computational load.
Contribution
It introduces a novel offloading strategy for MPC that leverages edge computing to improve control quality and reduce computational burden.
Findings
Enhanced control performance with edge computing integration
Reduced computational load on cloud servers
Effective simulation results demonstrating system improvements
Abstract
In this paper we develop a computational offloading strategy with graceful degradation for executing Model Predictive Control using the cloud. Backed up by previous work we simulate the control of a cyber-physical-system at high frequency and illustrate how the system can be improved using the edge while keeping the computational burden low.
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Taxonomy
TopicsAdvanced Control Systems Optimization · Distributed and Parallel Computing Systems · Real-Time Systems Scheduling
