| 1. |
- Edrisi, Farid, et al.
(författare)
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Adaptive Controllers and Digital Twin for Self-Adaptive Robotic Manipulators
- 2023
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Ingår i: 2023 IEEE/ACM 18th Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS). - : IEEE. - 9798350311921 - 9798350311938 ; , s. 56-67
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Konferensbidrag (refereegranskat)abstract
- Robots are increasingly adopted in a wide range of unstructured and uncertain environments, where they are expected to keep quality properties such as efficiency, accuracy, and safety. To this end, robots need to be smart and continuously update their situation awareness. Self-adaptive systems pave the way for accomplishing this aim by enabling a robot to understand its surroundings and adapt to various scenarios in a systematic manner. However, some situations, e.g., adjusting adaptation rules, refining run-time models, narrowing a vast adaptation domain, and taking future scenarios into consideration, etc. may require the self-adaptive system to include additional specialized components. In this regard, this work proposes a novel approach combining the MAPE-K, adaptive controllers, and a Digital Twin of the robot to enable the managing system to be aware of new scenarios appearing at run-time and operate safely, accurately, and efficiently. A state-of-the-art robot model is employed to evaluate the suitability of the approach.
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| 2. |
- Edrisi, Farid, et al.
(författare)
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Developing and Evolving a Digital Twin of the Organization
- 2024
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Ingår i: IEEE Access. - : IEEE. - 2169-3536. ; 12, s. 45475-45494
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Tidskriftsartikel (refereegranskat)abstract
- Digital Twin of the Organization (DTO) is a relatively new concept that emerged to help managers have a full understanding of their organization and realize their objectives. Indeed, DTO enables connecting all the elements of an organization virtually by providing monitoring, optimization, prediction, and other capabilities through continuous simulations. Creating a flexible and evolvable DTO that covers and supports the organization's business strategies is a complex and time-consuming task that requires engineering best practices. In this context, this paper presents and evaluates the EA Blueprint Pattern, which serves as an architectural reference for the development of a DTO by allowing for mapping well-known Enterprise Architecture concepts into software components defining the DTO software architecture. The evaluation is carried on by showing how to use the pattern for creating the DTO for a given organization. Then, a thorough discussion is conducted to analyze how the developed DTO should evolve to deal with vertical and horizontal integration. The lessons learned highlight the strengths and weaknesses along with practical implications for organizations that are eager to develop their DTO according to the EA Blueprint Pattern.
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| 3. |
- Giussani, Samuele
(författare)
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A Semi-Decentralized Self-Adaptive IoT Architecture for Energy Efficiency in Smart Households
- 2022
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Ingår i: STAF 2023 Workshop Post-Proceedings. - : CEUR-WS.
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Konferensbidrag (refereegranskat)abstract
- The advent of IoT opened up countless possibilities for the realization of smart devices, architectures and systems. In several circumstances, however, these components are designed to provide a good experience in terms of performance as well as usability, often choosing them over other features, such as energy efficiency. In this paper, a model-based architecture derived from the Collect-Organize Pattern for Self-Adaptation is presented through a use case involving a smart household, and a brief discussion on its applicability in a realistic scenario is provided.
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