Facing the truth: benchmarking the techniques for the evolution of variant-rich systems

D Strüber, M Mukelabai, J Krüger, S Fischer… - Proceedings of the 23rd …, 2019 - dl.acm.org
The evolution of variant-rich systems is a challenging task. To support developers, the
research community has proposed a range of different techniques over the last decades …

Resource sharing in cyber-physical systems: modelling framework and case studies

A Nayak, R Reyes Levalle, S Lee… - International Journal of …, 2016 - Taylor & Francis
Cyber-physical systems (CPSs) have attracted significant research interest because of their
promising applications across different domains; nonetheless, how to effectively model …

Pareto optimal design space exploration of cyber-physical systems

M Amir, T Givargis - Internet of things, 2020 - Elsevier
Cyber-physical systems (CPS) integrate a variety of engineering areas such as control,
mechanical, and computer engineering in a holistic design effort. While interdependencies …

Digital hydraulics and “Industrie 4.0”

R Brandstetter, T Deubel, R Scheidl… - Proceedings of the …, 2017 - journals.sagepub.com
This article addresses mainly questions about the roles of fluid systems, in particular of
digital ones, in an “Industrie 4.0 (I4. 0)” environment. There are three roles: the general …

Gradient-free multi-domain optimization for autonomous systems

H Zheng, J Betz, R Mangharam - arXiv preprint arXiv:2202.13525, 2022 - arxiv.org
Autonomous systems are composed of several subsystems such as mechanical, propulsion,
perception, planning and control. These are traditionally designed separately which makes …

Component-based synthesis of embedded systems using satisfiability modulo theories

S Peter, T Givargis - ACM Transactions on Design Automation of …, 2015 - dl.acm.org
Constraint programming solvers, such as Satisfiability Modulo Theory (SMT) solvers, are
capable tools in finding preferable configurations for embedded systems from large design …

Adaptive embedded control of cyber‐physical systems using reinforcement learning

H Mirzaei Buini, S Peter… - IET Cyber‐Physical …, 2017 - Wiley Online Library
Embedded control parameters of cyber‐physical systems (CPS), such as sampling rate, are
typically invariant and designed with a worst case scenario in mind. In an over‐engineered …

Combinatorial and parametric gradient-free optimization for cyber-physical system design

H Zheng, J Betz, A Ramamurthy, H Jin… - … IEEE Workshop on …, 2022 - ieeexplore.ieee.org
The design and evaluation of cyber-physical systems are complex as it includes mechanical,
electrical, and software components leading to a high dimensional space for architectural …

Modeling cyber-physical systems for automatic verification

Y Driouich, M Parente, E Tronci - 2017 14th International …, 2017 - ieeexplore.ieee.org
In this paper we show how the open standard modeling language Modelica can be
effectively used to support model-based design and verification of cyber-physical systems …

Model Checking Cyber-Physical Energy Systems

Y Driouich, M Parente, E Tronci - 2017 International Renewable …, 2017 - ieeexplore.ieee.org
Cyber-Physical Systems (CPS) integrates computing and physical processing: their
behaviour is dictated by both computation and physical components. In this paper, we …