Computation-Accuracy Trade-Off in Service-Oriented Model-Based Control
Hazem Ibrahim, Julius Beerwerth, Lorenz D\"orschel, Bassam Alrifaee

TL;DR
This paper introduces a framework for optimizing the computation-accuracy trade-off in Service-Oriented Model-Based Control by formulating service orchestration as an A* search problem and tuning it with Bayesian Optimization, demonstrated on vehicle velocity control.
Contribution
It presents a novel framework combining control and software structure optimization using A* search and Bayesian Optimization for real-time control system reconfiguration.
Findings
Effective online reconfiguration of control architecture demonstrated
Framework balances computation and accuracy in real-time
Vehicle control case study validates approach
Abstract
Representing a control system as a Service-Oriented Architecture (SOA)-referred to as Service-Oriented Model-Based Control (SOMC)-enables runtime-flexible composition of control loop elements. This paper presents a framework that optimizes the computation-accuracy trade-off by formulating service orchestration as an Asearch problem, complemented by Contextual Bayesian Optimization (BO) to tune the multi-objective cost weights. A vehicle longitudinal-velocity control case study demonstrates online, performancedriven reconfiguration of the control architecture. We show that our framework not only combines control and software structure but also considers the real-time requirements of the control system during performance optimization.
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Taxonomy
TopicsReal-Time Systems Scheduling · Formal Methods in Verification · Autonomous Vehicle Technology and Safety
