Encoder-Decoder Approaches for Detection and Diagnosis of Anomalies in Machine Control Applications

Lifecycle Governance for Effective Digital Twins: A Joint Systems Engineering and IT Perspective

Digital twins run concurrently with the assets and systems they mirror. They offer real-time execution of advanced control schemes, e.g., for smart buildings, but also various analysis tasks, e.g., for predictive maintenance that ensures resilience. In this, they need to cope with change: The physical twins they mirror operate in a highly...

Machine Learning for Digital Twins to Predict Responsiveness of Cyber-Physical Energy Systems

Cyber-Physical Systems are becoming more autonomous, interconnected, complex and adaptive, and are expected to operate in highly dynamic environments. This is especially challenging for energy ecosystems that are increasingly difficult to control and maintain as the number of participating manufacturers and users grows. Digital Twins help analyze...

Digital twin strategies for SoS: 4 challenges and 4 architecture setups for digital twins of SoS

Cyber physical systems of systems operate on and with machine-generated data that form the foundation of many of their information-centric functions and processes. Especially within infrastructure systems of systems and the applications of the internet of things, data became an asset for additional tasks regarding their efficient and effective...

A digital twin method for automated behavior analysis of large-scale distributed IoT Systems

Virtual Prototyping of Large-Scale IoT Control Systems Using Domain-Specific Languages

IoT applications and other distributed control applications are characterized by the interaction of many hardware and software components. The inherent complexity of the distributed functionality introduces challenges on the detection and correction of issues related to functionality or performance, which are only possible to do after system...

Using Digital Twins to Create and Manage Complex Distributed Control Systems

Early Design Phase Cross-Platform Throughput Prediction for Industrial Stream-Processing Applications

Industrial embedded platforms are often used to execute stream-processing applications, from which the results are used by actuators. On average, these stream-processing applications should at least meet the required throughput of their actuators, which poses a real-time requirement on the system. To avoid extra costs and delays, it is desired...

Performance prediction for families of data-intensive software applications

Performance is a critical system property of any system, in particular of data-intensive systems, such as image processing systems. We describe a performance engineering method for families of data-intensive systems that is both simple and accurate; the performance of new family members is predicted using models of existing family members. The...

A blueprint for system-level performance modeling of software-intensive embedded systems

Exploration of design alternatives and estimation of their key performance metrics such as latency and energy consumption is essential for making the proper design decisions in the early phases of system development. Often, high-level models of the dynamic behavior of the system are used for the analysis of design alternatives. Our work presents...

Robustness Analysis for Indoor Lighting Systems: An Application of Model Checking in Large-Scale Distributed Control Systems

Modern lighting systems are configurable systems-of-systems that have to operate in an environment that they cannot fully control. These systems have to guarantee the continuation of their functionality regardless of the events in their environment. As testing and simulation are not able to identify all possible interactions of a lighting system...

Performance engineering for industrial embedded data-processing systems

Performance is a key aspect of many embedded systems, embedded data processing systems in particular. System performance can typically only be measured in the later stages of system development. To avoid expensive re-work in the final stages of development, it is essential to have accurate performance estimations in the early stages. For this...

A blueprint for system-level performance modeling of software-intensive embedded systems

Exploration of design alternatives and estimation of their key performance metrics such as latency and energy consumption is essential for making the proper design decisions in the early phases of system development. Often, highlevel models of the dynamic behavior of the system are used for the analysis of design alternatives. Our work presents...

Architecture for self-organizing, co-operative and robust Building Automation Systems

This paper provides an overview of the architecture for self-organizing, co-operative and robust Building Automation Systems (BAS) proposed by the EC funded FP7 SCUBA1 project. We describe the current situation in monitoring and control systems and outline the typical stakeholders involved in the case of building automation systems. We derive...