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| Autori principali: | , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| Soggetti: | |
| Accesso online: | https://arxiv.org/abs/2411.18503 |
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| _version_ | 1866909406537449472 |
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| author | Beerwerth, Julius Ibrahim, Hazem Atodiresei, Bianca Dörschel, Lorenz Alrifaee, Bassam |
| author_facet | Beerwerth, Julius Ibrahim, Hazem Atodiresei, Bianca Dörschel, Lorenz Alrifaee, Bassam |
| contents | This paper presents a novel graph-based method for adapting control system architectures at runtime. We use a service-oriented architecture as a basis for its formulation. In our method, adaptation is achieved by selecting the most suitable elements, such as filters and controllers, for a control system architecture to improve control systems objective based on a predefined cost function. Traditional configuration methods, such as state machines, lack flexibility and depend on a predefined control system architecture during runtime. Our graph-based method allows for dynamic changes in the control system architecture, as well as a change in its objective depending on the given system state. Our approach uses a weighted, directed graph to model the control system elements and their interaction. In a case-study with a three-tank system, we show that by using our graph-based method for architecture adaptation, the control system is more flexible, has lower computation time, and higher accuracy than traditional configuration methods. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2411_18503 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Graph-Based Orchestration of Service-Oriented Model-Based Control Systems Beerwerth, Julius Ibrahim, Hazem Atodiresei, Bianca Dörschel, Lorenz Alrifaee, Bassam Systems and Control This paper presents a novel graph-based method for adapting control system architectures at runtime. We use a service-oriented architecture as a basis for its formulation. In our method, adaptation is achieved by selecting the most suitable elements, such as filters and controllers, for a control system architecture to improve control systems objective based on a predefined cost function. Traditional configuration methods, such as state machines, lack flexibility and depend on a predefined control system architecture during runtime. Our graph-based method allows for dynamic changes in the control system architecture, as well as a change in its objective depending on the given system state. Our approach uses a weighted, directed graph to model the control system elements and their interaction. In a case-study with a three-tank system, we show that by using our graph-based method for architecture adaptation, the control system is more flexible, has lower computation time, and higher accuracy than traditional configuration methods. |
| title | Graph-Based Orchestration of Service-Oriented Model-Based Control Systems |
| topic | Systems and Control |
| url | https://arxiv.org/abs/2411.18503 |